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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: United States Workplace: Remote We’re looking for a Sr. Manager of Order-to-Cash (OTC) to own and evolve our billing and collections function as ClickHouse continues to scale. This leader will ensure the integrity, accuracy, and compliance of our billing, collections, and revenue reporting as we prepare for public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Legal, FP&A, and other operations teams to build scalable processes and workflows. What You’ll Be Doing - Establish the operating model, processes, controls, and team structure for a scalable Order-to-Cash function. Hire, develop, and lead the team as the business grows. - Establish policies and guidelines for pay-as-you-go and commit billing models, invoice adjustments, collections strategy, and billing systems change management. - Act as the subject matter expert (SME) for new product/process introduction (NPI) initiatives, including changes to current billing processes and systems. - Own the billing systems tech stack that maps metered usage to contract entitlements and billable usage, in partnership with our Billing Engineering and Finance Systems teams. Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Support monthly accounting close activities including reviewing contracts, reconciliations, usage trends, invoice trends, AR write-offs, and analytics. - Support external audit activities and manage PBC requests related to OTC. What You Bring Along - 8+ years of progressive order-to-cash and billing operations experience, including 5+ years focused on billing and collections in a SaaS or technology company. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present financial insights clearly. - Experience in designing and maintaining internal controls and documentation to support audit readiness and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote We’re looking for a Senior AR Analyst to own billing and collection activities as ClickHouse continues to scale. This role will help ensure the integrity, accuracy, and compliance of our billing, collections, and downstream revenue reporting as we move towards public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Engineering, and other Operations teams to build scalable processes and workflows. What You’ll Be Doing - Own end-to-end invoicing and collections activities for pay-as-you-go and prepaid commit customers. - Support recurring, and usage-based, billing models across systems for a variety of subscription, invoicing, and payment term configurations. - Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Propose quarter-end write-off recommendations and own AR reporting, including aging analysis, allowance for doubtful accounts, and related GL reconciliations. - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, reconciliations, and analytics. - Support external audit requirements and manage PBC requests related to billing operations. - Support user acceptance testing for new SKU creation, new product launches, pricing models, and business initiatives. What You Bring Along - 3+ years of progressive billing and collections experience at a SaaS or technology company. - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present information clearly. - Experience executing internal controls and documentation to support audit and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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: 4+ 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 .

Allen Control Systems is looking for a Director of Computer Vision and Machine Learning to lead perception and tracking strategy, manage teams, and deliver production computer vision and machine learning systems.

Location: Mumbai, India Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. What you'll do Audit Management & Compliance Independently manage statutory and global audit processes, including preparation and review of financial statements as per IFRS and IND AS. Act as the primary point of contact for Big-4 auditors; manage queries, data requests, and timely closure of audit observations. Monitor compliance with statutory timelines and regulatory requirements; maintain a live compliance calendar. Oversee implementation of corrective action plans and report status to senior leadership. Monitor changes in accounting standards (IASB, MCA, SEBI) and assess their impact on reporting processes. Automation, AI & Digital Finance Transformation Own and drive the automation agenda within the compliance and reporting function — identify high-effort manual processes and lead end-to-end automation using RPA, Power Automate, Python scripting, or equivalent tools. Design and maintain advanced reporting dashboards and analytics frameworks using Power BI, Tableau, or similar platforms; enable real-time visibility into compliance and reporting KPIs for leadership. Collaborate with IT and digital finance teams to integrate AI/ML solutions into ERP workflows and reporting pipelines. Train and upskill team members on automation tools and AI applications relevant to finance operations. Internal Controls & Risk Review and monitor internal controls; lead remediation efforts and ensure robust documentation. Leverage data analytics to proactively identify control gaps, anomalies, and compliance risks. Support periodic risk assessments and escalate material issues to senior management. Team & Stakeholder Management Coordinate with Tax, Treasury, Legal, and Business Finance teams to ensure governance and compliance standards are met. Prepare cash flow forecasts related to tax payments and share projections with the treasury team. What You Need for this Role Need to be a qualified Chartered Accountant (CA). 5–7 years of experience in financial reporting, statutory compliance, Strong working knowledge of IFRS and IND AS. Demonstrated experience using AI tools in finance workflows — anomaly detection, AI-assisted reporting, Copilot, or similar. Experience coordinating with Big-4 auditors and managing audit processes independently. Familiarity with internal controls frameworks (IFC/SOX/COSO) and ERP systems (SAP/Oracle). Strong analytical and problem-solving mindset with a passion for digital transformation. Prior exposure to global teams or multinational environments is preferred. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us? This is your chance to make a real impact by shaping the future of our talent strategy. You'll be part of a forward-thinking organization where your insights and leadership will help guide us toward global success. If you’re ready to be at the forefront of transforming talent management, we want to hear from you! Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use. Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone. The team and how they connect The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies. Initially, you will focus on - Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features. - Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely. - Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable. - Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management. Where and how you can work Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for - A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms. - Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools. - Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments. - Talent for translating business and user needs into clear, secure, and practical technical solutions. - Expertise in applying security guidelines, access controls, and change management principles within live systems. - Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Remote, Japan 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 a Senior Solutions Architect, you'll be a trusted advisor to GitLab customers and prospects in Japan. You'll explain how GitLab's artificial intelligence-powered development, security, and operations (DevSecOps) platform addresses customers' business priorities and technical requirements, helping technical leaders and executives evaluate its value. You'll translate technology into business value and help customers make informed adoption decisions. The initial sale isn't the end of the relationship: you'll support continued adoption, new use cases, and expansion into additional products and editions, helping increase GitLab consumption through greater customer value. What you’ll do Lead structured discovery to understand customer business priorities, development processes, challenges, stakeholders, and success criteria. Connect proposed solutions to business value and return on investment. Collaborate with Account Executives on account strategies and customer action plans that move opportunities from technical evaluation to contract. Lead demos, workshops, proofs of concept or value, architecture design, and technical validation, including Linux-based, self-managed, and air-gapped customer environments. Design roadmaps for DevSecOps and artificial intelligence-enabled development across the software development lifecycle. Address processes, roles, governance, and developer experience. Plan the effort and timelines for migrating continuous integration and continuous delivery pipelines from Jenkins to GitLab. Resolve post-sale adoption challenges with post-sales teams and partners, and identify expansion opportunities across use cases, business units, workloads, products, and editions. Build relationships with developers and business and technical leaders. Explain GitLab's competitive differentiation and address objections about existing tools, overlapping artificial intelligence capabilities, cost, and migration effort. Create reusable proposals, architecture diagrams, proof-of-value plans, executive materials, technical content, and success stories. Present at webinars and marketing events to support pipeline development. Share customer feedback and competitive insights with Product Management, Engineering, Sales, and Marketing. Test GitLab, artificial intelligence, DevSecOps, and cloud technologies hands-on, and mentor team members to share best practices. What you’ll bring Experience in technical pre-sales, solutions architecture, consulting, technical sales, or a similar customer-facing role, using structured discovery, value selling, stakeholder mapping, and consensus building. Practical understanding of the software development lifecycle, DevSecOps, security, and cloud technologies, with experience using GitLab or comparable source control, continuous integration and continuous delivery, and developer collaboration platforms. Experience leading demos, workshops, proofs of concept or value, technical proposals, or solution architecture design, and the ability to discuss deployment, security, and operations with customer technical teams. The ability to explain technical trade-offs and business value to developers, technical leaders, and executives, and collaborate with Account Executives on opportunity strategy, adoption, and expansion. Familiarity with retrieval-augmented generation and Model Context Protocol, and the ability to discuss their use in artificial intelligence-enabled development. The ability to mentor team members, share reusable knowledge, and give and receive feedback with empathy and respect for others' expertise. Fluency in Japanese and professional working proficiency in English. Helpful but not required: a background in software development, systems integration, or project or product management. Other useful experience includes developer productivity, cloud-native technologies, enterprise platform governance and rollout, post-sales recommendations, consumption-based models, or creating reusable technical content. About the team The Solutions Architect team is part of GitLab's Sales organization. We work with Sales, Product Management, Engineering, Marketing, post-sales teams, and partners across regions, collaborating asynchronously to share reusable knowledge and best practices. We learn through hands-on testing and iteration, guided by GitLab's values of collaboration, customer results, efficiency, diversity, inclusion and belonging, iteration, and transparency. 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: 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. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. 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 through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: 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. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team. AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents. Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery - Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like. - Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users. - Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it. - Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave. - Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent. - Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks. WHAT OWNERSHIP LOOKS LIKE - A bias for shipping. You move fast, and you finish what you start. - Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences. - An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago. - An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability. - Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web. - 3+ years building production software that real users depend on. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes in a high-autonomy culture. - 4+ years hands-on experience building production systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI products for enterprise or consumers - Experience building native SDKs for iOS (Swift) or Android (Kotlin) - Experience building messaging apps, voice apps or voice agents - Experience with SIP, WebRTC, Twilio or contact-center platforms - Experience with real-time, low-latency distributed systems None of these are required. If the problems above excite you, we’d love to hear from you. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: 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. 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; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We're hiring Software Engineers with strong product and customer sense to join our Product Platform organization. This team builds the enterprise-hardened products that sit on top of our inference platform. These are the surfaces customers, partners, and their agents touch every day. We also build systems and products for developer productivity, including agentic platforms. We're hiring across several areas: - Commercialization, billing, and partnerships. - Developer productivity and agentic development. - Enterprise controls: identity, access, governance, and account lifecycle management. You'll own customer-facing features end to end. That means talking to customers to define the problem, designing and shipping the solution, and iterating once it's in production. You'll work closely with product and design as a peer. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Product Platform team: - How we built RBAC that scales for the enterprise https://www.baseten.co/blog/rbac-from-the-ground-up-solving-for-autonomy-vs-control/ - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ - Introducing Baseten Hosted Tools https://www.baseten.co/blog/introducing-baseten-hosted-tools/ - How leading platforms ensure observability for LLM inference https://www.baseten.co/blog/how-leading-platforms-ensure-observability-for-llm-inference/ RESPONSIBILITIES - Own customer-facing features end to end, from understanding who you're building for through design, launch, and iteration. - Build platforms and systems that scale and perform well in production, not one-off features or scaffolding. - Ship in phases, working directly with internal and external customers to validate and iterate along the way instead of betting on a single big launch. - Weigh competing customer requests and make clear prioritization calls based on impact. - Work closely with product, design, forward deployed engineering, and go-to-market teams as a peer, contributing ideas rather than just implementing specs. - Build the systems behind how customers buy, integrate, and use Baseten, across billing, partnerships, and developer and agentic tooling. - Take ownership of ambiguous problems, move quickly, and drive them to completion with little process. - Pick up new problem areas quickly and grow your scope as the team and product expand. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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. 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: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. OUR MISSION Build and scale the logistics capabilities that enable Mistral AI to deploy, operate and expand high-density compute infrastructure reliably. Own the flow, custody, traceability and readiness of high-value hardware, critical spares and associated materials - from supplier dispatch through site receipt, storage, deployment, repair and end-of-life disposition. Deliver speed without compromising safety, inventory integrity, security or cost control. OPERATING CONTEXT & ACCOUNTABILITY You will coordinate closely with Data Center Operations, IT Operations, deployment teams, Procurement, Finance, Security, Safety, colocation operators, carriers and OEM service partners. The role owns Mistral logistics processes and supplier performance. KEY RESPONSIBILITIES - DEPLOYMENT LOGISTICS AND SITE READINESS - Plan inbound and outbound movements for accelerator servers, racks, networking equipment, CDUs, replacement parts, tooling and deployment consumables across sites and staging locations. - Translate deployment schedules and bill-of-materials requirements into shipment plans, delivery windows, site receiving capacity, material availability and clear responsibility assignments. - Coordinate with business partners and site teams on loading bays, access approvals, delivery routes, floor loading, rack handling, lift plans, packaging removal, temporary storage and installation sequencing. - Identify logistics dependencies that could delay energization, commissioning, rack acceptance or compute availability; maintain escalation paths, contingency plans and recovery actions. - Create consistent procedures for goods receipt, inspection, damage recording, quarantine, staging, pick/pack, handover and proof of delivery, including exceptions and nonconformances. - Manage reverse logistics for defective equipment, repair exchanges, warranty returns, redeployments and end-of-life assets, with documented chain of custody and secure disposition. KEY RESPONSIBILITIES - INVENTORY, SPARES AND ASSET TRACEABILITY - Define and maintain an accurate inventory and asset-control framework for Mistral-owned equipment, including serialized items, location, ownership, status, movement history and reconciliation with IT asset records. - Set and monitor critical spare-parts policies with IT Operations and OEM partners: minimum/maximum stock, lead times, failure demand, replenishment triggers, shelf-life and obsolescence exposure. - Establish auditable stock movements, cycle counts, physical inventories, discrepancy investigations and controls for high-value or sensitive components. - Monitor stock health, aging, availability, stranded inventory, shrinkage and repair turnaround; use evidence to optimize local versus regional stocking decisions. - Coordinate secure storage conditions, ESD-sensitive handling, environmental requirements, battery transport/storage rules where applicable, and restricted access to valuable hardware. - Develop common inventory taxonomy, operating procedures and system integrations to support growth across sites, providers and countries. KEY RESPONSIBILITIES - SUPPLIER, TRANSPORT AND COMMERCIAL PERFORMANCE - Oversee third-party logistics providers, freight forwarders, warehouses, specialist rigging partners and couriers against agreed service levels, security controls and escalation requirements. - Work with Procurement and Legal on supplier selection, scopes of work, insurance, liability, transport terms and measurable performance expectations. - Coordinate cross-border shipping requirements with qualified customs and trade-compliance specialists, including import/export documentation, duties, restricted goods and relevant sanctions/export controls. - Monitor freight, warehousing, handling, repair and expedite costs; challenge avoidable spend while protecting deployment dates and service restoration capability. - Lead supplier performance reviews, delivery-failure investigations and corrective action follow-up; develop alternative routes and providers for critical supply chains. - Maintain reliable forecasting and reporting of expected arrivals, shortages, inventory exposure, blocked shipments, deployment readiness and outstanding returns. KEY RESPONSIBILITIES - SAFETY, RESILIENCE AND CROSS-FUNCTIONAL EXECUTION - Partner with Safety and site teams to assess high-risk material handling, rack moves, lifting/rigging, traffic management and contractor interfaces; verify that required plans and competent resources are in place. - Coordinate physical-security requirements, access permissions, tamper evidence and chain of custody for sensitive or high-value technology. - Develop practical business-continuity plans for shipment disruption, customs holds, supplier shortages, loss or damage in transit, and urgent hardware replacement needs. - Work with IT Operations and OEM service partners to prioritize material flows during incidents and reduce mean time to restore affected compute capacity. - Create clear operating rhythms and decision records across engineering, deployment, site teams and suppliers; escalate risks early and close actions with evidence. TEAM LEADERSHIP & ORGANIZATIONAL DEVELOPMENT - Build, lead, and scale the team across regions, aligning organizational capabilities, staffing levels, and resources with Mistral AI’s growth trajectory and operational requirements. - Supervise, coordinate, and support team members, ensuring clear accountability, effective collaboration, and consistent execution of responsibilities. - Define the organizational structure, roles, responsibilities, and resource allocation required to support current operations and future expansion. Recruit, onboard, develop, and retain high-performing professionals, ensuring the team possesses the technical expertise and capabilities required to meet business objectives. - Establish clear performance expectations, measurable objectives, and development plans; conduct regular performance reviews and provide constructive feedback and coaching. - Drive standardization of processes, procedures, and best practices across regions while accommodating local operational and regulatory requirements. - Foster a culture of ownership, accountability, continuous improvement, knowledge sharing, and operational excellence. Collaborate with cross-functional leaders to anticipate resource requirements, address organizational gaps, and ensure effective coordination across teams. - Develop succession plans and strengthen internal capabilities to support organizational resilience and long-term scalability. - Manage team priorities, workload distribution, and resource planning, ensuring effective execution while maintaining quality, safety, and operational efficiency. WHAT SUCCESS LOOKS LIKE - Critical hardware and materials arrive complete, traceable, secure and ready for deployment when needed. - Inventory accuracy is consistently high, with timely reconciliation and documented custody for valuable assets. - Critical spare parts are available according to risk-based targets, reducing restoration delays and avoidable downtime. - Logistics exceptions, shipment damage, deployment blockers and supplier failures are identified early and resolved with measurable corrective actions. - Logistics processes scale across new sites without sacrificing safety, compliance, cost discipline or execution speed. MINIMUM QUALIFICATIONS - At least 5 years of relevant experience in logistics, supply chain, warehouse operations, hardware deployment or inventory management in a complex technical environment. - Hands-on experience coordinating high-value equipment shipments, third-party service providers, site receiving, stock controls and reverse logistics. - Ability to establish auditable inventory processes, analyze operational data, manage exceptions and deliver against demanding deployment timelines. - Working knowledge of transport, handling and workplace safety requirements; ability to engage relevant specialists on customs and international trade compliance. - Strong cross-functional communication, supplier management and problem-solving skills; professional English and willingness to travel to operational sites. PREFERRED QUALIFICATIONS - Experience supporting data centers, AI/HPC infrastructure, hyperscale hardware deployments, enterprise IT logistics or complex industrial equipment. - Familiarity with serialized GPU/server assets, rack-scale systems, networking equipment, specialist lifting and ESD-sensitive components. - Experience implementing warehouse management, enterprise resource planning or IT asset-management systems and inventory dashboards. - Experience with international shipping, freight forwarding, customs interfaces, repair/RMA workflows and multi-site critical spares strategies. - Experience improving supplier performance, stock availability, forecast accuracy and logistics cost-to-serve. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Tallinn, Harjumaa, Estonia Welcome to Torrero — an all-in-one source for cutting-edge white-label casino, sportsbook solutions, and B2B aggregation. Built on a foundation of trust and compliance, we offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as a preferred partner for iGaming businesses worldwide. With a wide range of sports events, convenient payment options, and support for 35+ languages, we make gaming accessible to players around the globe. If you enjoy a fast-paced, dynamic environment with a startup mindset, passionate people, and opportunities to make a tangible impact, we invite you to join us on our journey as we continue to grow and expand our business. About the Role We are looking for an experienced Head of KYC (CDD/EDD) to lead and develop our KYC team, ensure the accuracy and consistency of player verification decisions, and strengthen our Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) processes. You will be responsible for establishing effective quality control procedures, identifying recurring errors, improving operational workflows, and ensuring that KYC specialists apply internal policies and regulatory requirements consistently. The role requires close collaboration with AML, Responsible Gambling (RG), Compliance, Customer Support, and Technical Support teams to resolve complex cases, improve information flows, and ensure a consistent approach to player verification and risk management. We are looking for a hands-on leader who can combine strong technical KYC/EDD expertise with people management, practical training, and continuous process improvement. You will be doing: Lead day-to-day KYC operations, ensuring accurate and timely CDD/EDD processing. Establish and maintain quality assurance procedures to identify errors, inconsistencies, and compliance gaps. Analyse recurring mistakes, identify root causes, and implement corrective actions. Review complex and high-risk cases, including PEPs, adverse media, source of funds, and source of wealth assessments. Monitor team performance, quality metrics, processing times, and adherence to SLAs. Lead, mentor, and train KYC specialists, providing regular feedback and coaching. Develop training materials, internal guidelines, checklists, and improvement plans. Maintain and improve KYC procedures and internal controls in line with applicable regulatory requirements. Ensure accurate case documentation and support internal and external audits. Collaborate with AML, Compliance, and Responsible Gambling teams on risk assessments and escalations. Work closely with Customer Support, Technical Support, and Payments teams to resolve KYC-related issues. Identify process inefficiencies and drive improvements in workflows, tools, and verification accuracy. Your Expertise to Meet the Requirements: Proven experience in KYC, CDD, and EDD within iGaming, online gambling, fintech, banking, or financial services. Previous experience leading, supervising, or mentoring a team, ideally in a high-volume operational environment. Strong knowledge of AML/KYC principles, customer risk assessment, identity verification, PEP screening, adverse media screening, and risk-based due diligence. Practical experience handling complex EDD cases, including source of funds and source of wealth assessments. Good understanding of relevant regulatory and licensing requirements, particularly those applicable to the EU, Malta Gaming Authority (MGA), UK Gambling Commission (UKGC), or other relevant iGaming jurisdictions. Experience designing or implementing quality assurance processes, conducting case reviews, and analysing operational errors. Strong analytical skills and excellent attention to detail, with the ability to make well-reasoned decisions in complex cases. Excellent communication and interpersonal skills, with the ability to work effectively across multiple departments. A proactive, hands-on approach, with a strong sense of ownership and accountability. Fluency in Russian & English, both written and spoken. We offer: Competitive salary Private health insurance Sports benefit Annual paid vacation for 28 calendar days 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Regular team and company events Comfortable office in the centre of Tallinn with the flexible working schedule Top notch work equipment Amicable work environment and supportive team members Real career opportunities and professional growth The great team across the world Hiring Stages: HR Introductory call Panel Interview with stakeholders References check Job offer

Location: Brazil; Argentina; Colombia; Mexico; Chile; Costa Rica Subject Matter Expert - Infrastructure as Code & DevOps Automation Position Summary We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency. Key Responsibilities Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms Document technical architecture, runbooks, and operational procedures for all automation systems Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations Requirements Required Qualifications 5+ years of IT infrastructure and systems administration experience Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments Strong Python programming skills; ability to write custom modules, plugins, and automation scripts Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure Knowledge of version control systems (Git) and collaborative development workflows Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience Preferred Qualifications Hands-on experience implementing and managing agentic AI solutions for IT operations automation Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration) Familiarity with configuration management databases (CMDB) and ServiceNow integrations Knowledge of GitOps methodologies and tools (ArgoCD, Flux) Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications Open-source project contributions or demonstrated thought leadership in the infrastructure automation community Technical Skills Matrix IaC: Terraform, OpenTofu, CloudFormation | Expert Config Management: Ansible, Ansible Tower, AWX | Expert Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+ Languages: Python, Bash, Go, HCL, PowerShell | Advanced Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced Languages: Python, Bash, Go, HCL, PowerShell | Advanced Why This Role Matters Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients. Equal Opportunity Statement We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected