Вакансии

Location: Valencia Workplace: OnSite Role highlights - Quality Management System Specialist - Location: Spain - Department: GMO – Manufacturing Assurance - Reports to: Global QMS Manager - Employment type: Permanent - Workplace model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters The Quality Management System (QMS) Specialist/engineer is responsible for implementation of the ICEYEs Quality Management System in our Valencia production unit to ensure consistent delivery of products and services that meet customer, regulatory, and industry standards. In this role you will partner closely with production, supply chain, Health and safety teams to ensure that our processes are aligned with business goals and embedded into daily practices. This role will report to the Global Quality Management System (QMS) manager and operate as a standalone position within the Spain facility. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Ensure ICEYE Quality Management System is fully implemented in our Valencia facility - Drive ICEYE production framework maturity increase in Valencia - be the subject matter expert for QMS, QA, Support Health and safety and environmental topics. - Ensure compliance with regulatory, customer, and industry requirements, serve as the main point of contact for auditors and certification bodies. - Act as an internal auditor in our internal process audits covering quality and supporting EHS topics. - Ensure controlled documentation rigor in Valencia operations - Define and track quality KPIs; prepare and present regular performance reports to leadership. - Provide training and coaching on QMS processes, standards, and quality tools; promote a culture of quality throughout the organization. What we’re looking for Must haves: - 5+ years in quality, engineering, operations, compliance, or process improvement roles. - Strong experience with digital QMS systems and data-driven improvement methods. - Strong knowledge of QMS standards (ISO 9001 required; AS9100, AQAP2110, PECAL or similar beneficial) - Experience with quality tools and risk management (RCA, CAPA, FMEA, PDCA, risk assessments). - Audit experience, either as an internal auditor or supporting external certification - Adaptability and a real willingness to learn; comfortable in a fast-paced, agile production environment where processes are still taking shape - Excellent communication, documentation, and stakeholder management skills - Ability to drive cross-functional alignment and work independently with minimal supervision - Professional fluency in both English and Spanish   Nice to haves: - Degree in Engineering, Quality, Business, or related field. - Knowledge of AS9100, AQAP 2110, PECAL, or ISO 27001 - Multi-site or international corporate experience - Background in defence tech, aerospace, advanced manufacturing, or automotive - Experience with quality tools and risk management methods (RCA, CAPA, FMEA, PDCA, risk assessments). If you bring the right mindset, we can build these with you. Application Process - TA interview - Hiring Manager video interview - Home task + task review interview - Final onsite interviews 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. 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.

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a AI Engineer (LLM focus) to build and scale the core intelligence behind Summy AI Copilot , our agentic assistant for compliance officers. This is an exciting opportunity to own a cutting-edge GenAI product, pushing LLMs beyond basic text generation to execute complex reasoning, and autonomous tasks. What You Will Be Doing: Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout and operation. Agentic Orchestration: Design and build robust, multi-turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action. LLM Observability & Evaluation: Set up comprehensive tracing, monitoring (e.g., LangFuse), and evaluation pipelines (LLM-as-a-judge) to track quality, latency, and token cost. Agentic Experience: Evolve our public MCP server and Agent Skills so that external AI agents (Claude, ChatGPT, etc) can work with Sumsub reliably and securely. Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real-world production metrics and A/B tests. About You: Experience: 5+ years in Software/Data/ML Engineering, with 1+ years explicitly focused on building and shipping production-grade GenAI/LLM systems. In-Depth LLM Knowledge: You understand how LLMs work under the hood. You know how to push models far beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing). LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph) and modern LLM APIs (Claude, Gemini, OpenAI). Engineering Excellence: You write production-ready code for microservices (Java/Dropwizard), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes). Ownership: You own the system from early talks with customers to operating it in production. Nice to have Background in classical NLP, traditional MLOps, or large-scale data engineering. Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains. Experience shipping production RAG systems. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Technical Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; Montreal Workplace: Hybrid 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? We’re building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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: Sliema, Malta Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As a Senior Business Analytics Manager, you'll use data to strengthen Compliance across three priorities: Trusted Data, Growth Enablement, and Proactive Risk Prevention. You'll help ensure that regulatory reports, audit responses, and legal evidence are reliable, traceable, and reusable, while transforming customer, transaction, and financial data into actionable insights. You'll partner with Compliance, Product, Engineering, Data Science, and Business teams to build trusted data foundations, automate recurring requests, and create metrics that reveal operational effectiveness and compliance friction. You'll also conduct root cause and control-gap analysis, help remove compliance-related business roadblocks, support market and licensing initiatives, and surface risks before they are identified externally. What You'll Be Doing: Facilitate and govern internal and external data requests across OKX global entities, ensuring timely, first-time-right delivery for regulatory reporting, audits and exams, and legal evidence. Build and maintain request records, evidence and definition libraries, and data-governance records to improve data reliability, traceability, and reusability. Productize high-frequency recurring requests into automated or self-service data pipelines, improving turnaround time and cost efficiency. Build and automate Compliance dashboards based on North Star metrics as well as input and guardrail metrics to provide transparency into operational effectiveness, customer and platform risk, and business friction. Conduct deep-dive, root-cause, and control-bypass analyses to proactively identify and prevent compliance risks. Partner with Compliance, Business, Marketing, and local market teams to remove compliance-related roadblocks in current operations and support new markets, licences, applications, and market-access assessments. Collaborate across Product, Engineering, Data Science, and Finance to continuously improve data pipelines and analytics products. What We Look For In You: Relevant working experience of at least 7 years. (must) Proficiency in database management systems like MySQL, SQL Server, Oracle, or PostgreSQL. (must) Ability to work independently and collaboratively in a fast-paced environment. (must) Strong problem-solving skills and attention to detail. (must) Hands-on experience with machine learning algorithms and AI tools. (nice to have) Strong compliance domain knowledge, including KYC, AML, the Travel Rule, insider trading controls, and regulatory requirements across jurisdictions. (nice to have) Experience supporting regulatory reporting, regulatory examinations, and internal or external audits. (nice to have) Preferred industries are Fintech, Digital Payment, Tech companies. (nice to have) Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Mexico Company Background Our client is a leading global provider of advanced analytics, technology solutions, and clinical research services for the life sciences industry. The company combines large-scale healthcare data with AI-powered analytics to accelerate drug development, clinical trials, and commercialization for pharmaceutical and biotech companies. It was named to Fortune’s World’s Most Admired Companies list in 2026. Project Description Our client is looking for a Full-stack Engineer to contribute to full-stack development initiatives in the healthcare advertising domain. The specialist will work as part of a Scrum-based team, collaborating on solution design, development, documentation, API integrations, and application improvements. Technologies C# .NET Vue.js (or another frontend framework) API SQL AWS What You'll Do Develop and maintain application features using .NET, SQL, AWS, and Vue.js (or another modern frontend framework); Participate in technical discussions and contribute to solution design and project documentation; Develop and support API integrations with other services; Contribute to application performance optimization; Participate in technical reviews and collaborate with the team on implementation approaches; Communicate with client stakeholders when needed and take responsibility for assigned tasks; Job Requirements 4+ years of experience as a Full-stack Engineer; Solid hands-on experience with backend development using C# / .NET; Experience with Vue.js or another modern frontend framework; Experience with SQL databases; Experience with API development and integrations; Experience with AWS; Ability to participate in technical discussions and work with project documentation; Ability to work independently on assigned tasks and collaborate with the team; Good verbal and written communication skills; English level: B2 or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Staff Engineer (Payment Processing) at Checkout.com http://Checkout.com, you will set the technical direction for our Gateway, Routing and Payout platforms. Every payment and payout we process passes through these systems, from the merchant's API request to the routing decision that sends it to the right acquirer, payment method or payout rail. Correctness matters on every transaction, and small changes in availability, latency or routing quality show up directly in our merchants' approval rates and revenue. This is a role for engineers who are energised by scale and by the hard trade-offs that come with it: latency budgets on the authorisation path, failure domains and blast radius, consistency and idempotency across regions, and the operational reality of running critical infrastructure around the clock. You will operate as a force multiplier across multiple teams - shaping architecture, raising the engineering bar, and turning ambiguous, business-critical problems into designs that can be delivered incrementally. We're looking for individuals with deep technical judgement, strong ownership, and a pragmatic approach to breaking big problems into smaller iterations that deliver value continuously. How you'll make an impact - Own the architecture of high-throughput, low-latency distributed systems, defining the service boundaries, data models and integration patterns that let them scale by an order of magnitude - Design for resilience from first principles - redundancy, graceful degradation, backpressure, idempotency and recovery - so that partial failures never become customer-facing outages - Set and defend the non-functional requirements that matter: availability targets, latency percentiles, throughput ceilings, data durability and recovery objectives - Lead the hardest technical decisions end to end, from problem framing and design review through to production rollout, migration and decommissioning of what came before - Drive operational excellence by improving observability, alerting, capacity planning, load and chaos testing, and incident response, and by closing the loop on the root causes you find - Raise the engineering bar across teams through design reviews, code review, pairing and mentorship, growing the senior engineers around you - Partner with product, platform and other engineering teams to sequence delivery, remove blockers and keep multi-team programmes aligned on a single technical direction - Make pragmatic build-versus-buy and refactor-versus-rewrite calls, and communicate the reasoning and trade-offs clearly to both engineers and senior leadership Experience and qualifications - Significant experience building and operating distributed backend systems in production, with a track record of technical leadership across multiple teams - Demonstrable experience designing for high throughput and low latency, and a strong intuition for where systems break under load - Deep understanding of resilience patterns in distributed systems: idempotency, retries and backoff, circuit breaking, queueing and backpressure, consistency and failure modes - Strong proficiency in either .NET or Java, and the ability to write clear, production-ready code that others can maintain - Experience with event-driven and streaming architectures, and with relational and non-relational data stores at scale - Hands-on experience with cloud-based application development (we use AWS & Azure), containers, orchestration and infrastructure as code - Experience owning production systems on call, with a strong sense of ownership for observability, monitoring and incident response - Experience leading complex migrations or re-architectures of live, business-critical systems with no loss of availability or data integrity - Excellent communication skills, able to influence without authority, write clear design documents, and express technical trade-offs to engineering and non-technical audiences alike Nice-to-haves - Experience in payments, financial services or another domain with strict correctness, auditability or regulatory requirements - Experience with multi-region or active-active architectures, including data replication and failover strategies - A history of mentoring engineers into senior and staff-level roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you! Your Experience Must have: 7+ years of professional experience in the field of machine learning Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines Strong Python programming skills for efficient model development and deployment Experience with both traditional ML and modern LLM frameworks Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies Experience in building and managing data pipelines using tools like Apache Spark Excellent communication skills and ability to collaborate with diverse teams Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: Advanced degree in Computer Science, Mathematics, or a related field Familiarity with statistical and measurement fundamentals and running and evaluating AB tests Data visualisation skills Experience in the MedTech domain What you'll be doing You'll be responsible for: Explore, develop and test complex ML/AI systems to improve female health Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £180,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

Location: Limassol Cyprus Workplace: OnSite Job Title: Staff/Lead SDET Engineer (Test Automation Platform) Product: Total Battle Total Battle is a massive MMO 4X strategy game available on mobile and web, uniting millions of active players. As our product and engineering teams scale, we are shifting our testing paradigm: automated testing must become a daily, self-service engineering tool rather than a bottleneck owned by a dedicated team. We are looking for a Staff/Lead SDET to take technical ownership of our internal test automation tooling and make this vision a reality. Why this role exists Your core mission is to empower product QA teams. You won't write tests; you will build the tools, APIs, and abstractions that allow QA engineers (with basic Python & OOP skills) to independently create checks, manage test states, run tests in CI/CD, and diagnose failures. - The Product Teams own the tests. - You own the tooling layer that makes their work possible. [https://app.ashbyhq.com/api/images/user-content/55591132-5874-4888-add0-f14f70025dca/2aa3a273-986b-4c05-b6a2-27fee33e607f/image.png] 💡 Core Focus Areas: 1. Client Testing Tools: UI scenarios, method/component checks across Android, WebGL, and (soon) iOS. 2. Server Integration: Component testing tools built over existing Python clients, SDKs, and product testability capabilities.(Note: We aren't starting from scratch. We need a visionary who can assess our existing solutions, define a target architecture, and evolve them incrementally). What You’ll Work On - Drive Technical Strategy: Define the roadmap for QA tooling, evolve its architecture, and personally implement key solutions. - Build the Platform: Develop domain APIs, fixtures, and state-preparation tools for integration/component testing over existing SDKs. - Enhance Client Automation: Extend client UI automation and enable sub-UI checks for specific client methods. - Unify Execution: Ensure local and CI execution follow a predictable, unified path across Android and WebGL. - Create Diagnostics: Build clear diagnostic tools to help QA engineers easily distinguish between product, test, tooling, and infrastructure failures. - Cross-Team Collaboration: Translate recurring QA needs into product testability requirements and establish technical contracts with client/backend teams. - Evangelize & Mentor: Drive adoption of your tools through pilots, solid documentation, and feedback loops. (Where needed, help define engineering roles and participate in hiring/onboarding). Who You Are We are looking for a hands-on technical leader who thrives in long-term ownership of internal platforms. - Python Expert: You regularly write, debug, and maintain Python code for libraries, frameworks, SDKs, or internal tools. - Platform Builder: You have designed or substantially evolved a framework/SDK used by multiple teams, bringing it to a point where teams can use it independently. - API Designer: You know how to build stable public APIs over existing SDKs, hiding low-level details from the end-user. - Cross-Functional Driver: You’ve successfully worked with backend, client, or framework teams to deliver testability capabilities, driving changes even when you don't directly manage the teams. - CI/CD & Diagnostics Guru: You have integrated automated checks into CI quality gates with robust reproducibility and diagnostics. - AI Adopter: You leverage LLMs and coding agents to investigate codebases, develop tooling, or create tests efficiently. - Deep Domain Expertise: You have profound hands-on experience in at least one of the following (and can take technical responsibility for the other): - Client/UI automation: Drivers, custom/non-native UI, synchronization, and sub-UI checks. - Backend/integration tooling: Python clients/SDKs, protocols, sessions, fixtures, and test state. Nice to Have (Bonus Points) - Experience in both client/UI and backend/integration tooling. - Background in modernizing legacy automation and conducting incremental user migrations. - Experience with complex test lifecycles (data isolation, flaky checks, state management). - Experience in GameDev or complex live-service products (Unity, Cocos/Axmol, WebGL). - Familiarity with Selenium, Appium, Playwright, XCUITest, Android ADB, or iOS infrastructure. - Experience with asynchronous Python, typed models (Pydantic, mypy), or schema-based code generation. Why to join: 1. ☀️ Live & Work in Sunny Cyprus: We’re an office-first team in Limassol with a modern seaside workspaces. We provide full relocation and visa support for you and your family. 2. 💰 Industry-Leading Rewards: High salaries, a 13th salary, performance bonuses, extra rewards for life milestones (marriage, babies, long service), daily breakfast and lunch. 3. 🛡️ Family Support: Private family health insurance, plus a highly competitive monthly allowance for your children’s pre-school, school, and university education. 4. 🚀 Shape a Global Hit: Work on a Top-10 global mobile 4X strategy game that has grown 25x in revenue and audience over 5 years. 5. 🏰 Rock-Solid Stability: We operate at startup speed but with zero history of lay-offs. We are independent, financially secure, and boast a 99% employee satisfaction rate. 6. 🧠 Culture & Growth: A flat structure where the best ideas win and transparency rules. Your growth is funded from specialized training, certifications, language courses and books to internal and external conferences coverage.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Prague; Limassol Workplace: remote Join Azul at a pivotal moment as we expand the market for Java intelligence and observability solutions that help enterprises optimize, secure and modernize their Java environments.   As Principal Product Marketing Manager, Java Intelligence, you will be responsible for market strategy, positioning, messaging, go-to-market execution and commercial success for key areas of Azul’s Java Intelligence portfolio, including Azul Intelligence Cloud, Azul Optimizer Hub and Payara InSight.   You will shape how customers understand the value of these solutions, influence product direction in partnership with Product Management and Engineering and drive measurable business outcomes. This is a highly visible individual contributor role that requires strategic thinking, strong market instincts and the ability to lead through influence, translating complex technical capabilities into compelling business value for developers, architects, operations teams and enterprise decision-makers.     This role will ideally be based in either Prague, Czech Republic or Limassol, Cyprus   Or remotely in Europe. What You'll Do (aka Responsibilities) You will be responsible for specific areas across Azul Intelligence Cloud, Azul Optimizer Hub, and Payara InSight, working closely with other product managers and cross-functional partners. You will help shape product strategy, roadmap priorities, pricing and packaging, market positioning, and business performance for your areas. You’ll use customer insight, market data, and business results to recommend direction, build alignment, and drive decisions across product, engineering, sales, and marketing. The balance of your focus across the three products will evolve as business priorities change. These products are also closely connected to Azul’s Java runtimes: Optimizer Hub ships as part of Azul Prime, while Intelligence Cloud’s JVM Inventory supports Azul Core Oracle migration initiatives. Your work will therefore influence broader product and runtime priorities, and at times may include direct involvement with Azul Core and Azul Prime. This is an individual contributor role with no direct reports. Success will come through strong product judgment, clarity, data-driven decision making, collaboration, and the ability to influence teams and senior leaders. Responsibilities: Drive business and product outcomes. Define meaningful measures of success for your product areas and use them to guide priorities and decisions. Monitor sales, pipeline, pilot-to-production conversion, adoption, retention, and other relevant product and business metrics. Partner with sales, marketing, engineering, and leadership to understand performance, identify opportunities or risks, and adjust product direction when the data or customer feedback indicates a change is needed. Shape product strategy. Develop and recommend the multi-year direction for your areas, including where the products can differentiate, which customer segments and use cases to prioritize, and where Azul should build, partner, or integrate. Ensure your recommendations reflect customer needs, market dynamics, competitive intelligence, technical considerations, and Azul’s broader enterprise and open-source portfolio. Partner with executive leadership. Report to the VP of Product Management and work closely with the CPO, CEO, CRO, CTO, and other senior leaders. Present product strategies, roadmap recommendations, pricing considerations, customer insights, and business results clearly and credibly. Use evidence to support recommendations, invite constructive challenge, and adapt direction as new information emerges. Translate strategy into roadmap priorities. Turn product strategy into clear, sequenced, and achievable roadmap recommendations. Evaluate priorities and trade-offs across products and initiatives, build alignment with engineering, sales, and marketing, and help teams understand both what is being prioritized and why. Communicate roadmap direction effectively to internal stakeholders and customers while balancing customer needs, business opportunity, technical feasibility, and speed of execution. Develop pricing and packaging recommendations. Help shape how Intelligence Cloud is priced, packaged, and metered across Java environments of varying sizes and complexity, how Optimizer Hub is positioned and packaged as part of Azul Prime, and how Payara InSight is packaged for Azul Payara customers. Develop and test pricing models, gather feedback from customers and the field, and partner with finance, sales, and leadership to refine and implement recommendations. Lead inbound product management activities. Partner closely with engineering throughout the product development lifecycle, from requirements and design reviews through implementation decisions and release readiness. Lead customer discovery and requirements sessions, translate customer problems into clear product needs, and provide direction on UX and UI priorities. For areas involving Optimizer Hub, consider the operator experience of installing, sizing, and running the product on Kubernetes. Contribute to customer-facing technical documentation and knowledge-base content, deliver compelling product demonstrations, and continually evaluate the usability of the product. Lead outbound product management activities. Partner with marketing on positioning, product launches, sales enablement, competitive differentiation, and customer-facing content. Participate in customer and prospect conversations, support strategic deals and escalations, and conduct ongoing market and competitive research. Help ensure product messaging resonates with developers, platform teams, technical decision-makers, and executive buyers. Build technical credibility. Develop a strong working understanding of the technologies behind the products and engage effectively with engineering teams on product and technical trade-offs. You do not need to be a JVM internals expert, but you should understand JVM architecture and operating principles, including JIT compilation and warm-up, well enough to have substantive conversations with engineering and translate technical capabilities into meaningful customer and business value. What you bring (aka Experience, Skills) 8+ years experience in product management, including several years owning a product or product line end to end — strategy through launch through revenue. Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics. Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't. Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer. Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market. Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle. Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background — you have written code and debugged production systems. Experience with open source communities. Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized. Experience taking a new product from early traction to a durable revenue line. Working knowledge of Java and Java development tooling. Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry. Experience working across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO The agent must collect and use a card number but can never see it. This work sits across four hard technical domains: payments, security, real-time voice, and LLMs. Voice is the core challenge. A caller speaks or types a card number in a live, low-latency audio stream, and the digits must never reach the model, while the model stays on the call. Sierra owns every system that touches card data, and one small team owns it end to end across three workstreams: Platform, Product, and Safety & Integrity. Customers keep their own telephony and payment gateways. Payments is live in production for some of the largest consumer enterprises, on a platform that handles hundreds of millions of calls a year. The platform is certified to PCI DSS Level 1. - Build real-time card capture for voice: intercept keypad and spoken digits in a live audio stream, upstream of the agent runtime in a network-segmented environment, while the LLM stays live on the call. Make it work across every telephony provider and protocol Sierra supports. - Build and extend the tokenization platform: agents receive and send short-lived tokens, and the platform swaps a token for the real value only when it calls the customer's payment gateway. - Own the payments egress control plane: every destination for card data is approved, versioned with the agent release, and enforced by infrastructure below the application, not by convention. - Make payment actions correct: an at-most-once action primitive in the Agent SDK, validated amounts and items, and monitoring that compares what the agent said about a payment with what really happened. - Keep card data out of places it should not be: deterministic detection in the agent's hot path that catches what general-purpose models miss. No LLM, including any we build ourselves, ever sees a plaintext card number. - Make payments self-serve: one payments API across Agent Studio, the Agent SDK, and Ghostwriter, Sierra's agent-building agent; gateway middleware that developers write against tokens; and support for single-tenant and customer-cloud deployments. Any team can add payments to an agent without a payments engineer in the loop. - Grow the platform beyond cards: extend tokenization into a privacy vault for all PII. WHAT YOU'LL BRING - 5+ years building backend, platform, or infrastructure systems, with a track record of shipping and operating high-reliability services in production. - A deep security instinct. You design as though every component will eventually be compromised, and you reason naturally about blast radius, least privilege, and making bad states impossible rather than reacting to them. - Rigor about correctness under failure: retries, idempotency, at-most-once behavior, and clear handling of timeouts and unclear results from external systems. - Fluency in a systems language (we use Go) and comfort owning critical systems end to end, from design through production and on-call. - Range and ownership. You like a small team with broad scope, you build clean abstractions over messy external systems, and you're never satisfied solving a problem once per customer. - Clear communication. You can explain a design or a risk to other engineering teams and to non-engineers. - Degree in Computer Science or a related field, or equivalent professional experience. You don't need payments experience. The engineers who built this platform came from backend, infrastructure, and security work, not payments. We care more about how you build correct, secure systems than about the word "payments" on your resume. EVEN BETTER… - Real-time or streaming systems: voice, telephony, media, or low-latency pipelines. - Applied cryptography and key management, network isolation, egress control, or cloud security. - Platforms other engineering teams build on, such as APIs, SDKs, and self-serve developer services. - Deployments into customer-owned clouds or single-tenant environments. - Customer-facing technical work, such as architecture reviews with customers. - Setting technical direction on ambiguous, high-stakes problems. - Payments, fintech, or another sensitive-data domain such as healthcare or identity. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You’ll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You’ll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don’t need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform’s technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. We're looking for an Engineering Manager to lead the engineers who build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. You’ll hire and grow the team, and hold the bar for how the platform is built and run in production. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll partner with engineering teams in Billing, Compute and Infra on shared contracts and APIs, and with product owners and finance operations, who set the priorities and define the needs. You don't need a finance background. If you have led teams that build backend systems where correctness matters, we will teach you the domain. Responsibilities Lead and grow a team of engineers: hire, coach and hold a high bar for engineering quality Own delivery of the front door for finance events and its governed contracts, and the accounting ledger and engine, so every event is posted exactly once and can be traced back to its source Be accountable for the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow Make sure finance apps and agents have the platform support they need: SDKs and frameworks, scoped access, SOX guardrails, observability, and the capabilities finance needs that claude products do not provide out of the box Define and own the reliability and correctness bar: SLOs on the services other teams call, tests that check key upstream calculations on every change, and daily accuracy and completeness checks from source to books Align on technical design, data contracts and APIs with engineering leaders in Billing, Compute and Infra Drive down the time it takes finance to support a new product, program or compute buildout Minimum qualifications Have led teams that build and run high-volume backend systems where correctness matters, such as ledgers, billing, payments, metering or other systems of record Have built or run event-driven systems with idempotent processing, replay and backfill, and know what it takes to keep them correct in production Have sound judgment on platform boundaries, data contracts and API design Have hired and grown engineers, and set engineering standards for platforms Work well across functions, with upstream engineering teams, finance and auditors, and explain technical trade-offs clearly to non-engineering partners, in writing and in the room Preferred qualifications Have 3+ years of engineering management experience, with 8+ years total in the industry Built developer platforms or paved paths used by other builders Worked with Go and with streaming systems such as Pub/Sub or Kafka Built with LLMs and agents, including MCP Built or run a ledger or sub-ledger, with a working knowledge of double-entry accounting Managed teams through audit and compliance work, such as SOX change management, segregation of duties and audit trails Worked with ERP or financial systems, such as Workday Financials or Oracle Financials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Portugal We are looking for an experienced Enterprise Architect to own the overall technical architecture of the entire GoMining ecosystem, not just individual products. Your scope covers the architecture of all key domains (Payments, Cards, Custody, Wallet, Mining, and Core Platform) and the connections between them. You will ensure that our products, platforms, infrastructure, and financial services operate as a scalable, secure, reliable, and interconnected ecosystem. This is a highly influential role that requires both strategic architectural vision and deep hands-on engineering expertise. You will shape the target architecture, define technical standards, manage architectural dependencies, make critical technical decisions, and help teams choose the right path. You will work closely with the CTO, engineering leadership, and product teams. Proven experience in FinTech, banking, payments, or cryptocurrency platforms is mandatory. Key Responsibilities Own and continuously evolve the end-to-end architecture of the GoMining ecosystem. Define the target enterprise architecture, architectural principles, standards, and long-term technology roadmap. Ensure architectural consistency and seamless integration across financial products, payments, wallets, custody, cards, mining services, and core platform infrastructure. Design scalable and resilient distributed systems capable of supporting millions of users and high transaction volumes. Establish clear architectural boundaries, service ownership, integration patterns, and data flows across multiple engineering teams. Drive critical architecture decisions involving microservices, APIs, event-driven systems, data platforms, and cloud infrastructure. Identify and eliminate architectural bottlenecks, technical debt, scalability limitations, and system dependencies. Lead architecture reviews and provide technical guidance to engineering teams. Collaborate with the CTO, Engineering Leads, Product Leaders, and business stakeholders to align technical architecture with business strategy. Evaluate new technologies, architectural approaches, and infrastructure solutions. Ensure security, reliability, observability, performance, and operational resilience are embedded into architectural decisions. Remain deeply involved in technical discussions, solution design, and implementation reviews. Requirements 8+ years of software engineering experience, including 3+ years in enterprise, platform, or solution architecture roles. Mandatory experience architecting systems within FinTech, banking, payments, digital banking, or cryptocurrency companies. Proven experience designing architecture across multiple interconnected products, services, or business domains. Strong software engineering background, ideally as a Senior / Lead / Principal Engineer. Deep understanding of distributed systems, microservices, event-driven architecture, API design, and integration patterns. Experience designing high-load, fault-tolerant, and mission-critical systems. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure). Understanding of financial transaction processing, data consistency, security, and regulatory requirements. Ability to define long-term architectural strategy while remaining technically hands-on. Experience driving architectural decisions across multiple engineering teams. Excellent stakeholder management and communication skills. Nice to have Experience with cryptocurrency exchanges, blockchain infrastructure, digital wallets, or custody solutions. Experience with card issuing, payment processing, banking integrations, or financial ledgers. Experience building or transforming complex multi-product financial ecosystems. Familiarity with PCI DSS, KYC, AML, and financial compliance requirements. Experience scaling platforms to millions of users. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Senior Manager, Solutions Architecture - at GitLab, you'll manage a distributed team of Solutions Architects working with customers across AMER. In this player-coach role, you'll guide technical strategy across complex sales motions while also stepping directly into high-impact opportunities to help your team secure technical wins and build customer confidence in GitLab's platform approach. At GitLab, we work at the intersection of technical sales strategy, team development, and operational scale, and you'll help translate customer requirements into clear business outcomes. You'll partner closely with regional go-to-market counterparts and cross-functional teams including Sales, Channel, Marketing, Sales Enablement, Product Management, and the global Solutions Architecture team. In our all-remote environment, you'll help shape how we grow the Solutions Architecture organization across the region by building strong operating rhythms, strengthening executive relationships, and creating the conditions for your team to do their best work. This role suits someone who combines technical depth, strong judgment, and a hands-on approach to winning business and scaling teams. Some of the types of projects you'll work on: Running technical evaluations, executive workshops, demos, and proof-of-concept engagements that help customers map GitLab's DevSecOps platform to their business goals What you’ll do Manage a team of intermediate and senior Solutions Architects across AMER setting clear direction and enabling high-quality execution across the region. Act as a player-coach by partnering directly on strategic opportunities, building executive relationships, and coaching your team through complex sales cycles to help secure the technical win. Guide regional strategy for technical evaluations, workshops, demonstrations, and proof-of-concept engagements, ensuring customer needs are translated into meaningful technical and business outcomes. Work cross-functionally with global Solutions Architecture, Sales, Channel, Marketing, Sales Enablement, and Product Management to align on priorities and execute against regional goals. Manage dotted-line relationships with Channel Solutions Architects and subject matter experts, driving accountability, collaboration, and alignment around common goals. Maintain strong operational discipline across workload planning, resource allocation, headcount planning, opportunity forecasting, and field execution. Define and track key performance indicators for the team, communicating progress, risks, and priorities clearly to your team, peers, and senior stakeholders. Hire, develop, and retain high-performing Solutions Architects while strengthening team capability, encouraging innovation, and building a scalable regional organization for future growth. What you’ll bring Strong background in solution architecture or comparable practical experience, with the ability to relate technical depth to customer business value and apply transferable experience from adjacent domains while learning GitLab and related tools. Proven success developing, mentoring, and scaling Solutions Architecture practices or similar customer-facing technical organizations in growing businesses. Strong communication and technical presentation skills, with the ability to engage effectively across cultures and with both technical and business stakeholders. Demonstrated business acumen and sound judgment, balancing technical excellence with commercial outcomes and regional priorities. Track record of influencing cross-functional stakeholders and building strong partnerships across Sales, Channel, Marketing, Enablement, Product, and other senior stakeholder groups. Experience building inclusive, high-performing teams and creating clear, accountable operating practices in a distributed or remote environment. Ability to travel at least 25% How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: USA Workplace: Remote Solvd Inc. is a technology services company that helps enterprises build and scale with AI. We operate through three business units: Core AI, Cloud, and Agentic Engineering. Together, they bring deep engineering expertise and an outcome-first mindset to help clients reimagine how they build, operate, and grow, turning the promise of AI into real, measurable business impact. We are looking for a self-driven, entrepreneurial sales hunter to expand Solvd's client base with new enterprise logos. You will stay ahead of market and technology trends, understand the challenges and priorities of our target customers, and translate them into opportunities that drive real business outcomes. You will generate pipeline through every available channel, including marketing-led campaigns, industry conferences and events, technology and alliance partnerships, and targeted outreach. You will own each opportunity strategically from first conversation through contract signature. That means building a deep understanding of customer needs, articulating Solvd's value proposition with clarity and conviction, and bringing together the right internal teams to shape outcome-driven solutions. Success in this role is measured not only by deals won, but by clients who see value early and become long-term partners. WHAT YOU'LL DO New Logo Prospecting and Pipeline Generation - Identify, target, and engage new enterprise and upper mid-market clients across priority industries. - Generate pipeline through all channels: outbound prospecting, marketing campaigns, account-based marketing, conferences, industry events, and partner ecosystems (hyperscalers, AI platform providers, and technology partners). - Build and execute a disciplined target account plan grounded in market research and customer insight. End-to-End Deal Ownership - Own the full sales cycle: discovery, qualification, proposal, pricing, negotiation, and closure. - Engage senior stakeholders (C Level execs and line-of-business leaders) and build trusted relationships across the buying group. - Sell on value, connecting Solvd's capabilities across AI, agentic engineering, digital, data, and cloud to the client's business priorities and measurable outcomes. - Lead the commercial process, including MSAs, SOWs, procurement, and legal discussions, in partnership with internal finance and legal teams. Customer Relationships and Thought Leadership - Build strong, trusted relationships with client stakeholders, acting as their advocate within Solvd. - Share Solvd's point of view on AI, agentic engineering, and digital transformation with customers and prospects. - Represent Solvd at industry conferences, events, and forums, strengthening brand presence and converting conversations into qualified opportunities. - Bring market and customer insights back to internal leaders, sharing a clear point of view on market trends, competitive dynamics, and emerging demand. Cross-Functional Collaboration - Partner with solution architects, delivery leaders, and practice teams across Agentic Engineering to ensure outcome-driven solutioning. - Work with Engineering teams to shape and build service offerings that meet evolving customer requirements. - Collaborate with Marketing on campaigns, account-based marketing, and event strategy to drive targeted demand. - Work with alliance and partnership teams to co-sell and build joint pipeline. Sales Discipline and Forecasting - Maintain strong CRM discipline, keeping all opportunities, activities, and forecasts accurate and up to date. - Provide reliable pipeline reviews and quarterly forecasts to leadership. Account Ownership and Transition - Own each new account for six months after closure, ensuring a successful delivery start and customer delight. - Identify early expansion opportunities and grow the initial engagement where possible. - Execute a structured handoff to the assigned Client Partner, including account plan, stakeholder map, and growth opportunities. WHAT YOU BRING - 10+ years of B2B sales experience in IT services, digital engineering, or consulting, with at least 6 years in a new logo (hunter) role. - Proven track record of consistently meeting or exceeding $3M to $4M annual new business quotas. - Demonstrated success closing services deals of $1M to $3M+ with enterprise clients. - Experience selling to C-level and senior technology and business leaders. - Deep domain knowledge of one or more target industries (e.g., insurance, financial services, healthcare, retail, travel and hospitality). - Solid understanding of AI, digital, data, and cloud services and the ability to discuss them credibly with clients. - Experience negotiating MSAs, SOWs, and commercial terms. - Exposure to Agentic Engineering and COTS (commercial off-the-shelf) products is strongly preferred. PREFERRED - Experience selling Digital, Modernization, Generative AI, or agentic solutions. - Established relationships with leading COTS (Salesforce, Adobe, ServiceNow, Shopify etc) or AI platform partners. - Familiarity with structured sales methodologies such as MEDDICC, Challenger, or Solution Selling. - Proficiency with Salesforce or similar CRM platforms. WHAT SUCCESS LOOKS LIKE Success in this role will be measured against three primary KPIs: 1. New Logo Bookings - Target: $2 million in Year 1; $3 million annually from Year 2 onward. - Measurement: Total signed contract value (bookings) from new logos closed within the fiscal year. 2. New Logo Acquisition - Target: At least one new logo per quarter, totaling four or more annually. - Measurement: New clients with a signed MSA and first SOW or purchase order, with no Solvd revenue in the prior 24 months. 3. Qualified Pipeline Coverage - Target: Maintain qualified pipeline at 3× the annual bookings target—$6 million in Year 1 and $9 million from Year 2 onward. - Measurement: Value of opportunities in the CRM that meet agreed qualification criteria, such as MEDDICC, reviewed monthly. SUPPORTING PERFORMANCE INDICATORS The following indicators will be reviewed quarterly: - Win rate: Achieve a win rate of 25% or higher on qualified opportunities. - Account handoff quality: Support client satisfaction and account growth during the six-month ownership period, with a documented handoff to the Client Partner. - Forecast accuracy: Maintain quarterly bookings forecasts within ±10% of committed bookings. YOUR FIRST YEAR - First 90 days: Build a target account plan, engage marketing and partner channels, and develop $3M+ of qualified pipeline. - First 6 months: Close the first new logo and reach full 3x pipeline coverage. - First 12 months: Deliver $2M in net new revenue and 4+ new logos, with each account successfully transitioned to a Client Partner. WHAT WE OFFER - Competitive base salary plus a compelling commission plan. - Comprehensive benefits, including health, dental, and vision insurance, a 401(k) plan, and paid time off. - The opportunity to build a book of business in one of the fastest-growing areas of technology. - Direct access to leadership and a collaborative, entrepreneurial culture. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.