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Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Senior AOCS System Engineer - Location: Warsaw, Poland - Department: Engineering - Reports to: Jakub Lisowski, Engineering Manager - Employment type: Permanent - Workplace model: Hybrid ( 2- 3 days onsite at our Warsaw office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Mission of the AOCS Systems Engineer   You ensure that our satellites always point towards the right direction enabling high-quality images. This role is within AOCS Domain where we are responsible for maintaining attitude and orbit. Your job will be to work closely with production teams, operation teams and software teams to ensure smooth and performant operation of our ADCS and propulsion systems in orbit and on ground. Expect to be involved in the complete lifecycle of the system - from design phases of future ICEYE satellite generations to maintenance of existing systems we, and our customers operate. You will have a chance to have a direct impact on our mission success as performance and reliability of the AOCS system directly affects the amount and quality of Synthetic Aperture Radar (SAR) data we deliver to our customers.     WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Expected Outcomes: 1. Increased Imaging Performance and Mission Success. You will help driving the performance of our AOCS systems by: - Driving selection of future AOCS hardware components. - Characterizing and validating existing AOCS performance by designing and executing in-orbit experiments and analyzing telemetry data with the help of analysis software you develop. - Developing software tools to predict performance of our future AOCS systems. 2. Maximized AOCS Availability. You will ensure that our systems perform as expected within their design envelope by: - Maintaining verification procedures and working closely with production and testing teams in implementing process improvements and new test jigs. - Debugging on-orbit anomalies requiring deep system system understanding and systematic approach towards pinning the root-cause. Understanding an anomaly is a first step towards preventing it in the future. - Supporting software teams in implementing changes to software to prevent repetition of known issues. - Work on software tools helping debug AOCS anomalies as they happen.   3. Robust and Predictable AOCS Operations. You will help the team establish and evolve internal processes for anomaly handling and resolution.   WHAT WE’RE LOOKING FOR Must haves: - Thinking from a first-principles mindset - your work will often involve resolving in-orbit anomalies, which you will need to tackle in a systematic manner to understand their root-cause and propose solutions to mitigate those in the future. - Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3d geometry, feedback loops, state estimation. Basic understanding of orbital dynamics. - Strong understanding of underlying principles of operation and failure modes of sensors and actuators used in AOCS: reaction wheels, magnetorquers, star trackers, gyroscopes, magnetometers, GNSS. - Strong understanding of performance drivers of AOCS systems. - Proven track record of owning cross-domain systems involving feedback control loops over their complete lifecycle including maintenance and operations. - Demonstrated broad knowledge across multiple engineering disciplines including controls, mechanical and electronics. AOCS is an electromechanical system in the and requires broad perspective to understand it fully - Proficiency in Python, C++ or Matlab.   APPLICATION PROCESS 1. (remote) Talent Acquisition Screening 2. (remote) Hiring Manager interview 3. (remote) Take-home technical task and panel interview 4. (on-site) System thinking workshop 5. (on-site) Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets - Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows - Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) - Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do - Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load - Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil - Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom - Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal RELIABILITY & OPERATIONS - Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise - Ensure deployments fail fast and safely when health checks degrade - Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds - Partner with product engineering and platform teams to align release practices with reliability and availability targets YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years in SRE, production operations, platform engineering, or release engineering - Have operated production systems at scale and carried on-call for them - Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar) - Have led incident response with tooling like incident.io http://incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR - Operate confidently on AWS (multiple accounts, IAM, VPC) in production - Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes - Script and automate to eliminate toil rather than absorb it - Communicate clearly with both infrastructure specialists and product engineers - Thrive in async, globally distributed teams - Are comfortable navigating ambiguity and iterating toward better systems over time WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Taiwan About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for a technically strong, hands-on QA Engineer to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade. What You'll Own Technical Investigation & Debugging Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed. Drive root cause analysis across factory teams and internal engineering groups. Document findings and help define preventive actions for recurring problems. Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs. Provide technical support, coordination, and hands-on assistance during the bring-up process. Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA Perform visual inspections of completed products (servers, racks) before packaging. Define and maintain QA checklists and inspection procedures tailored to different product lines. Verify inventory records at the factory against internal system data (part numbers, serials, configurations). Oversee the product packaging process for compliance with defined standards. Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics Collect failure data from vendor-side burn-in and our own test systems. Analyze failure trends and estimate spare part needs for future datacenter deployments. Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement Gather and process feedback from datacenters on each delivered batch of equipment: * Report on packaging issues, impact sensor triggers, shipping anomalies. * Assess rack-level build quality: cabling, bracket alignment, labeling. * Log systemic hardware issues (design flaws, infant mortality, recurring failures). Forward the feedback to the teams: logistics, ODM partners, hardware RnD, QA.Test Infrastructure & Validation Assist with deployment and maintenance of test infrastructure on-site. Ensure Nebius post-manufacturing hardware validation tests run smoothly (uptime, monitoring, coordination with support team). Coordinate real-time issue escalation and basic triage with factory and internal teams.Local Insight & Communication Communicate relevant local risks and context (e.g., typhoons, holidays, factory-specific constraints) to our global logistics and hardware teams. Maintain productive relationships with factory staff, logistics providers, and internal stakeholders. Working Conditions & Tools During production peaks, issues may arise that require fast, hands-on debugging and resolution on-site. Flexibility is expected: you may need to stay late to investigate failures in freshly built batches or arrive early to verify and unblock outbound truck shipments. Rapid response and clear communication with engineering and factory teams are critical during these high-pressure periods. Occasional international travel may be expected to Nebius headquarters in Amsterdam or to datacenters in Europe and the US. Daily work tools involve: * Managing workflows and escalation via Jira * Writing and maintaining technical documentation in Confluence * Using Grafana dashboards for monitoring test environments and system health * Operating with several internal inventory and test control systems What You'll Bring Strong technical background in hardware or systems engineering, able to independently investigate and troubleshoot complex issues with server systems. 5+ years of experience in hardware QA, manufacturing supervision, or server validation. A strong background in R&D is a significant plus. Solid understanding of server and rack hardware: components, layout, cabling, power/cooling, diagnostics. Ability to read and interpret technical documentation (e.g., datasheets, system specs, debug manuals). Solid knowledge of electrical engineering fundamentals (e.g., power specs, grounding, signal integrity). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Barcelona, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace. You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system. We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice. Key responsabilities: Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes Define component behaviour, states and variants, working directly with engineering to ship them Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions Create clear documentation and specifications covering variants, edge cases and usage guidance Collaborate closely with engineers on token strategy and the practical link between Figma and production code Resolve conflicts between a tribe's local need and the system's long-term coherence Work with product design teams to identify gaps and embed stronger systems thinking across products AI-enabled Design Systems: Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns Know when to override AI output with your own design judgment, and be able to explain why What we're looking for: Proven experience designing and maintaining a design system at scale, not just documenting one Experience running or contributing to a contribution model, or a clear point of view on how you'd build one Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency Required experience A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes Experience working closely with engineers to deliver high-quality, scalable outcomes Experience or strong interest in AI-assisted design or development workflows Hiring Process First Stage - Recruiter Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage - Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage  - AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. DEI statement OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.  Privacy Data disclaimer OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Sta. Rosa, Laguna Workplace: OnSite Duties and Responsibilities - Customer Onboarding - Conducts customer due diligence and KYC (know-your-customer) - Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious. - Validates the completeness and accuracy of customer information on the customer information sheet/account opening form. - Conducts signature verification. - Photocopies the proof of identity and files it together with the account opening form. - Creates the customer profile and opens the account in the Core Banking System (CBS) - Secures appropriate approval for the creation completed. - Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer. - Scans the Account Opening Document Set. - End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head. - Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review. - Conducts Enhanced Due Diligence as necessary. - Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities. - Preparation of Customer Notifications and monitor its delivery status. - Fire-Proof Cabinet / Vault Custodianship - Safekeeps accountable forms and records the utilization of accountable forms. - Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours. - Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller. - Customer Interaction such as but not limited to: - Attends to customer queries at the branch. - Responds to Customer Inquiry via email. - Resolves customer complaint. - Call-out (TD Maturity, Bounced Cheques, etc.) - Release and Monitoring of Bounced Cheques Pick up and/or Replacement - Debit Cards Handling - Release of Debit Cards to Customers and Tagging in the System - Blocking of Card – Lost / Stolen - Destruction of aged card - All files shall be safekept in the designated filing cabinet and shall be within the retention period. - Ensure completion of tasks assigned within the agreed turnaround-time. - Other processes that may arise related to Account Services. - Timely reports concerns identified and possible issues that might have impact to branch operations. - Acts as reliever when somebody goes on leave based on the relief arrangement within the team. - Organizes team files (soft and hard copy) and adheres to the record retention policy. - Identifies processes/systems for improvement but ensuring controls are in place. - Initiates projects for the betterment of the team and the company as a whole. - Participates on UAT/UVT for new or enhancement of systems that will have impact to the team. - Participates in Business Continuity Plan (BCP) Activities. - Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor. - Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above. - Assists in combatting money laundering by ensuring processes required are in place. - Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies. - Strict adherence to company’s policies and code of conduct. EDUCATION & COMPETENCIES - University degree on Banking & Finance, or any related Business Course - With at least 3 years of relevant experience in a banking industry - Strong knowledge and experience in teller services or branch operations - Sufficient knowledge of BSP regulations - Good communication skills - Problem-solving skills in a well-structured manner - Ability to work with different culture, race, or ethnic group. - Can work independently with minimal supervision. - Acceptable risk management skills and ability to mitigate identified risks. - Good interpersonal skills - Keen attention to details - Organize, innovative and results oriented. - Ability to multi-task in a fast-paced environment - Positive attitude knows how to find ways to address different circumstances. - With official Signature Verification, KYC / CDD Training / Seminars attended.

Location: United States; Phoenix; Seattle; California; Denver Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations. - Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally. - Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas. - Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors. - Established regional network, including state and local departments and agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences - Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%). Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Ho Chi Minh City, Vietnam Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform. What You Will Do Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team. Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices. Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience. Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience. Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality. Investigate and promptly address bugs to uphold platform reliability. Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations. Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative. Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows. Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives. What We Need Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications. Minimum 2 years in a lead/manager role, able to guide and ensure development of teams Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here International Environment Competitive remuneration package Hybrid Work Model for those in Ho Chi Minh City; Remote working for those outside Ho Chi Minh City 15 Days Annual Leave 13th-month Pay Annual Performance Bonus Stock Options after 6 months Health Insurance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments. Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment. Key Responsibilities Build and develop core machine learning systems that power AI-driven product capabilities. Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration. Translate research concepts into reliable, production-ready machine learning solutions. Investigate and resolve model performance issues and production system failures using real-world operational insights. Continuously improve machine learning systems through rapid experimentation, measurement, and iteration. Collaborate closely with research, product, and engineering teams to deliver impactful AI features. Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers. Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety. Requirements Proven experience building and deploying production machine learning systems used by real users. Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments. Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems. Experience designing and implementing scalable machine learning pipelines and infrastructure. Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment. Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams. Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Principal Machine Learning Engineer to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure. Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints. Key Responsibilities Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment. Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation. Design and operate scalable inference systems while balancing latency, cost, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies. Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications. Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety. Requirements Strong background in deep learning and transformer-based architectures. Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production. Proficiency with modern machine learning frameworks such as PyTorch or JAX . Experience with distributed training and inference frameworks, including technologies such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray . Strong software engineering skills with experience building robust, maintainable, production-grade systems. Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision. Ability to independently own end-to-end machine learning systems in fast-moving environments. Strong problem-solving skills with a focus on rapid iteration and continuous improvement. Preferred Qualifications Experience with one or more of the following is preferred: LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer Open-source contributions to machine learning or systems libraries Scientific computing, compiler technologies, or GPU kernel development Reinforcement Learning from Human Feedback (RLHF) pipelines, including PPO, DPO, or ORPO Training or deploying multimodal or diffusion models Large-scale data processing frameworks such as Apache Arrow, Spark, or Ray

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an iOS Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience. Key Responsibilities Build and maintain production iOS applications using Swift and SwiftUI . Integrate AI-powered features through backend APIs. Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms. Optimize application performance, memory usage, and battery efficiency. Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement. Collaborate closely with backend and machine learning engineers on API design and system behavior. Maintain high standards of application quality, stability, and reliability for App Store releases. Requirements Minimum 3 years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile applications. Strong understanding of async/await , concurrency, and background task management. Solid experience optimizing iOS application performance, memory usage, and responsiveness. Experience developing, releasing, and maintaining production iOS applications. Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior. Exposure to CoreML or lightweight on-device machine learning is an advantage. Familiarity with feature flags or remote configuration systems is preferred. Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust. Preferred Technical Skills Experience with the following technologies is preferred: Swift SwiftUI Swift Package Manager (SPM) SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an Android Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience. Key Responsibilities Build and maintain production Android applications using Kotlin . Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs. Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results. Optimize application performance, memory usage, and responsiveness for AI-intensive workflows. Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement. Collaborate closely with backend and machine learning engineers to define API integrations and system behavior. Ensure application stability, security, and scalability within production environments. Requirements Minimum 3 years of Android application development experience using Kotlin. Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs. Strong understanding of asynchronous programming using Coroutines and Flow . Experience working with RESTful or gRPC APIs and structured data formats. Strong debugging, troubleshooting, and performance profiling skills. Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior. Familiarity with ML Kit or lightweight on-device inference is an advantage. Experience publishing and maintaining production applications on the Google Play Store . Preferred Technical Skills Experience with the following technologies is preferred: Kotlin / Java SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient. Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms. Key Responsibilities Build, maintain, and operate backend systems that power AI-enabled features in production. Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models. Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems. Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities. Own production operations, including monitoring, logging, alerting, and incident response. Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability. Continuously improve backend architecture and production systems based on operational insights and real-world usage. Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions. Requirements Strong backend engineering experience in production environments. Proven experience building and operating high-throughput, low-latency backend services. Experience designing scalable APIs and distributed systems. Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems. Strong debugging and troubleshooting skills within distributed production environments. Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance. Excellent analytical, problem-solving, and collaboration skills. Technical Skills Experience with the following technologies is preferred: Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Yerevan, Armenia Description We are seeking a detail-oriented and proactive InfoSec Compliance Operations Specialist to support the implementation and ongoing operation of the organization’s Information Security governance, compliance, policy, and certification activities. This is a hands-on, execution-focused role. The specialist will assist with maintaining policies and procedures, collecting and organizing compliance evidence, supporting audits and certifications, updating Information Security documentation, monitoring assigned actions, and coordinating routine communications with internal and external stakeholders. The role does not include formal management responsibility, strategic ownership of the Information Security program, approval authority, or independent decision-making regarding risk acceptance, policy approval, or compliance exceptions. Responsibilities Support the implementation and ongoing operation of Information Security governance, compliance, and ISMS activities Maintain compliance documentation, control matrices, risk registers, evidence repositories, corrective-action trackers, and related records Collect, review, organize, and maintain evidence for ISO/IEC 27001, PCI DSS, internal audits, external assessments, and certification activities Support the preparation, review, publication, version control, and periodic update of Information Security policies, standards, procedures, and guidelines Track compliance gaps, audit findings, risk-treatment actions, remediation activities, responsible owners, and completion deadlines Support internal and external audits, readiness assessments, control reviews, and certification activities Prepare compliance reports, audit updates, policy summaries, risk documentation, meeting materials, and management-review content Assist with maintaining the Information Security risk register, control inventory, Statement of Applicability, and supporting documentation Support customer security questionnaires, third-party assessments, and routine coordination with IT, Legal, Procurement, Compliance, and business teams Follow up with responsible stakeholders on outstanding evidence, document reviews, corrective actions, and compliance deadlines Requirements Relevant education or professional experience in Information Security, cybersecurity, compliance, risk management, audit, policy administration, or a related field Strong understanding of Information Security governance, risk, compliance, internal controls, and standards such as ISO/IEC 27001 or PCI DSS Experience preparing, reviewing, updating, or maintaining policies, procedures, compliance records, or audit documentation Strong documentation, business-writing, communication, organizational, and stakeholder-coordination skills Ability to manage multiple deadlines, follow established procedures, work with technical and non-technical teams, and handle confidential information appropriately

Location: Lagos, Nigeria Who We Are We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability. The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization. This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment. What You Will Do Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities. Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting. Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects. Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making. Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements. Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product. Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios. Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics. Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation. Build automated reporting solutions and improve data infrastructure to reduce manual processes. Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance. Perform portfolio stress testing, sensitivity analysis, and scenario modeling. Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk. Recommend risk policy enhancements based on portfolio performance and analytical findings. Maintain documentation for portfolio methodologies, reporting processes, and analytical models. Drive continuous improvement initiatives across portfolio analytics and reporting capabilities. Requirements What You Bring Educational Qualification Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline. Master's degree is an added advantage. Professional Certifications FRM (Financial Risk Manager) – preferred. CFA (Chartered Financial Analyst) – an advantage. ACCA, ACA, or equivalent accounting qualification is beneficial. IFRS 9 or Credit Risk certifications are an added advantage. Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable. Experience Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk. Experience within banking, fintech, consumer lending, digital lending, or financial services. Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring. Experience building automated reporting and portfolio dashboards. Experience supporting senior management with portfolio performance insights and strategic recommendations. Professional Competencies Strong knowledge of portfolio risk management principles and retail lending products. Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning. Strong analytical skills with experience interpreting large datasets and translating insights into business actions. Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools. Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis. Experience designing portfolio monitoring frameworks and early warning indicators. Ability to automate reporting processes and improve reporting efficiency. Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance. Excellent presentation, communication, and stakeholder management skills. Strong attention to detail with the ability to influence strategic decision-making through data. Ability to manage multiple priorities within a fast-paced environment. This Role Is Ideal For You If: You enjoy transforming complex portfolio data into strategic business insights. You are passionate about credit risk analytics, portfolio optimization, and automation. You enjoy improving reporting efficiency through digitalization and data-driven solutions. You thrive in solving complex business problems using analytics. You enjoy collaborating across Risk, Finance, Technology, and Product teams. You want to influence credit strategy and portfolio performance at scale. You May Not Enjoy This Role If: You prefer operational roles over analytical and strategic work. You are uncomfortable working with large datasets and complex financial models. You dislike automation, reporting, or continuous process improvement. You prefer highly repetitive work with limited opportunities for innovation. You are not interested in financial performance, impairment, or portfolio optimization. Benefits What's In It For You Opportunity to shape portfolio strategy within a leading fintech organization. Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making. Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives. Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams. Continuous learning, professional certification sponsorship, and career development opportunities. Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.

Location: Lagos, Nigeria Who We Are We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Senior Anti-Fraud & Credit Policy Manager leads the Bank's Credit Policy and Fraud Prevention function, ensuring robust controls across customer onboarding, loan origination, and portfolio management. The role is responsible for developing and optimizing fraud prevention strategies, KYC controls, credit policy rules, and fraud detection models while safeguarding the business against financial crime and operational losses. The successful candidate will oversee anti-fraud systems, external risk data providers, blacklist management, and continuous monitoring of fraud attacks. Working closely with Risk, Credit, Product, Operations, Technology, Compliance, and Data Science teams, this role will drive automation, enhance decisioning frameworks, and strengthen fraud prevention capabilities across the lending lifecycle. This role is ideal for someone with extensive experience in fraud risk management, credit policy, digital lending, and data-driven decisioning within banking or fintech. What You Will Do Lead the design, implementation, and continuous improvement of credit policies and anti-fraud strategies across all lending products. Develop, monitor, and optimize KYC, customer verification, and fraud prevention controls throughout the customer lifecycle. Design, implement, and fine-tune fraud detection rules, cross-match models, and decision engines to improve fraud detection while minimizing false positives. Manage fraud prevention platforms and decisioning systems to enhance approval quality and customer experience. Oversee relationships with external risk data providers, including credit bureaus, identity verification providers, device intelligence, and fraud intelligence vendors. Evaluate the effectiveness of third-party fraud and identity solutions and recommend enhancements where necessary. Own and maintain customer, device, identity, and merchant blacklists, ensuring timely updates and governance. Monitor fraud trends, emerging threats, attack patterns, and suspicious activities across digital channels. Lead daily fraud monitoring, investigate fraud incidents, and coordinate rapid response actions to mitigate losses. Develop fraud dashboards, KPIs, and management reports to support executive decision-making. Conduct root cause analysis of fraud events and implement preventive controls. Collaborate with Product, Engineering, Data Science, and Operations teams to implement new fraud controls and policy enhancements. Review lending policies and recommend updates based on portfolio performance, fraud trends, regulatory changes, and business strategy. Support internal and external audits, regulatory examinations, and compliance activities relating to fraud prevention and credit policy. Ensure all fraud prevention activities comply with regulatory requirements and internal governance standards. Lead continuous improvement initiatives through automation, analytics, and advanced fraud detection techniques. Requirements What You Bring Educational Qualification Bachelor's degree in Computer Science, Information Technology, Mathematics, Statistics, Economics, Finance, Accounting, Engineering, or a related discipline. Master's degree is an added advantage. Professional Certifications Certified Fraud Examiner (CFE) – preferred. Certified Anti-Money Laundering Specialist (CAMS) – an advantage. Certified Risk Management Professional (CRMP), FRM, or equivalent certifications are desirable. Professional certifications in Data Analytics, SQL, Python, SAS, or Power BI are an added advantage. Experience Minimum of 6–8 years of experience in Fraud Risk Management, Credit Policy, Financial Crime, Credit Risk, or Digital Lending. At least 3 years in a leadership or senior specialist role. Experience within banking, fintech, consumer lending, or financial services. Hands-on experience managing fraud prevention systems, KYC platforms, and rule-based decision engines. Experience working with external fraud intelligence, identity verification, and credit bureau providers. Professional Competencies Strong knowledge of digital fraud prevention, financial crime, and credit policy management. Deep understanding of KYC, Customer Due Diligence (CDD), identity verification, and fraud risk controls. Experience designing and optimizing fraud rules, scorecards, cross-match models, and decision engines. Strong understanding of fraud attack vectors, synthetic identity fraud, account takeover, device fraud, application fraud, and first-party fraud. Experience managing external risk data providers and integrating third-party fraud solutions. Strong knowledge of blacklist management, fraud monitoring, and fraud investigation processes. Proficiency in SQL, Excel, Power BI, Python, SAS, or similar analytical tools. Strong analytical and problem-solving skills with the ability to identify emerging fraud patterns. Excellent stakeholder management, communication, and leadership skills. Strong understanding of regulatory requirements relating to fraud prevention, AML, KYC, and consumer lending. Ability to balance fraud prevention with customer experience and business growth. This Role Is Ideal For You If: You enjoy building robust fraud prevention and credit policy frameworks. You are passionate about protecting customers and the business from financial crime. You enjoy analyzing fraud patterns and improving decision engines through data. You thrive in fast-paced, technology-driven lending environments. You enjoy collaborating across Risk, Compliance, Product, Engineering, and Operations teams. You are motivated by solving complex fraud challenges using analytics and technology. You May Not Enjoy This Role If: You prefer operational processing over strategic risk management. You are uncomfortable making high-impact risk decisions. You dislike working with fraud analytics, rule optimization, and large datasets. You prefer environments with limited change and innovation. You are not interested in regulatory compliance, fraud prevention, or credit governance. Benefits What's In It For You Opportunity to lead fraud prevention and credit policy for a fast-growing fintech organization. Ownership of fraud strategy, KYC controls, and credit decisioning frameworks that directly influence portfolio quality and customer trust. Exposure to advanced fraud technologies, digital identity solutions, and analytics-driven decisioning. Opportunity to collaborate with Risk, Product, Engineering, Data Science, Compliance, and Executive Leadership teams. Continuous learning, professional certification support, and career development opportunities. Competitive compensation and the opportunity to solve complex, high-impact fraud and credit risk challenges.