Вакансии

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Token Factory is hiring a Product Manager for new model launches. We bring the newest state-of-the-art models to production, often on day-0 as a launch partner to frontier and emerging AI labs. Reporting into the product organization, you’ll own end-to-end delivery and work with engineering, billing, legal, marketing and our partners to ensure timely and quality model launches on the platform. You’re welcome to work remotely from the United States Your responsibilities will include: Own end-to-end execution of new model launches on Token Factory, from intake and kickoff to public release and post-launch activities. Ensuring every model launches on time and with quality. Coordinate across engineering, billing, legal and marketing to ensure all deliverables that each launch depends on are ready, such as: model metadata, serving configuration, pricing, licensing and GTM communications. Responsible for the quality of every model release through hands-on QA validation of inference, configuration and metadata and third-party integrations. You drive remediation of any gaps or defects identified to ensure model launch quality. Act as the operational point of contact for model partners during a launch, aligning scope, timing, access to model assets and post-launch follow-up so that day-0 launches land cleanly. Keep stakeholders informed with regular status updates, and report on post-launch traction and economic performance. Maintain and improve model launch operating procedures: runbooks, intake criteria, templates and onboarding materials and acceptance gates. Run retrospectives to gather insights and opportunities that feed back into that process-improvement loop. Coordinate issues, escalations and questions for upcoming and recently launched models, including support escalations, known issues and duty coordination for model problems. We expect you to have: 5+ years in a product, engineering or similar role shipping software, AI or other developer-facing products/services. Ability to navigate technical and procedural friction across time zones and team boundaries, to support, communicate or escalate as needed. Effective communication skills: provide concise status updates, work with internal stakeholders and external partners, run weekly meetings and write clear documentation. Understanding of how models are served and consumed: architectures, serving configuration, quantization, GPU hardware and the OpenAI API schema standard. Adept with AI agents and skills. You’ll set up workflows with existing tools to retrieve data, run checks and keep internal operations moving. You understand how to use AI safely and effectively, verify its output, and recognize when a non-AI approach is the right decision. Technical fluency to work with APIs, read configuration and template files, familiarity with Git and CI/CD pipelines and modern software delivery practices. It would be an added bonus if you have: Software development experience. Experience with LLM inference serving: engines, quantization, benchmarking. Understanding of Kubernetes, Helm charts and autoscaling. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The fraud risk strategy team plays a pivotal role in safeguarding fraud and mitigating associated risks while minimizing impact on user experience and business operations. Through rigorous fraud analysis and comprehensive risk management strategies, they proactively detect and combat user scams, phishing attempts, and general fraudulent activities. Your efforts on this team will help to drive proactive fraud risk mitigation efforts, protect user trust, and ensure sustainable business growth by maintaining a secure and resilient trading environment. What You’ll Be Doing Monitor fraud risk through the customer lifecycle to provide timely detection of emerging risk patterns Own risk controls from end-to-end with a focus on continuous risk strategy optimization Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis Development and implementation of risk monitoring and feedback loop framework to focus on risk decision optimization Manage your strategy dashboard by tracking all your strategies data metrics What We Look For In You 7+ years of experience (with Bachelor degree) or 5+ years of experience (with Master degree) in Risk Management policies and strategies, preferably in Crypto, Fintech, or Payments. Deep understanding of fraud risk management and strategy in multiple fraud areas. Understand concepts of data modeling, machine learning, and statistical analysis techniques Excellent written and verbal communications skills in English; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing Proficient in tools such as SQL, risk rule writing engines Excellent analytical and problem-solving skills Understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem would be a plus Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE 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 .

Responsibilities: — Perform data entry tasks remotely for approximately 1 hour per day. Requirements: — Reliable and detail-oriented candidate. — Male candidates preferred. — Eligible applicants must live in or currently be based in Hungary, the Czech Republic, Slovakia, Romania, Bulgaria, Croatia, Slovenia, Lithuania, Latvia, or Estonia. Benefits: — Flexible part-time remote work. — Payment starting from $200 per month. Work Type: Remote (Part-time) Working Time: Approximately 1 hour per day. Eligible Locations: Applicants living in or currently based in Hungary, the Czech Republic, Slovakia, Romania, Bulgaria, Croatia, Slovenia, Lithuania, Latvia, or Estonia are welcome to apply.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. IN THIS ROLE, YOU WILL - Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. - Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. - Solve challenging engineering problems involving system architecture, performance, scalability, reliability, and operational efficiency. - Make thoughtful architectural decisions, evaluating tradeoffs between performance, complexity, maintainability, and long-term scalability. - Proactively identify technical challenges and opportunities for improvement, including problems without clearly defined requirements or established solutions. - Stay hands-on with engineering, contributing production-quality code, reviewing designs, and helping resolve complex technical issues. - Collaborate with engineers and technical leaders across teams to influence technical direction, establish engineering standards, and drive improvements. - Share technical knowledge, mentor other engineers, and help strengthen engineering practices across the organization. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving difficult technical problems where the solution isn't immediately obvious. - Like designing and building systems that operate reliably at scale. - Thrive on taking ownership of complex engineering challenges, from initial design through production. - Balance hands-on engineering with technical leadership and enjoy influencing decisions without formal authority. - Think critically about architectural tradeoffs and favor pragmatic, maintainable solutions over unnecessary complexity. - Take initiative in identifying important problems rather than waiting for projects to be assigned. - Enjoy collaborating with talented engineers, sharing knowledge, and raising the bar for engineering quality. - Find satisfaction in shipping meaningful improvements and seeing the impact of your work in production. QUALIFICATIONS - 8+ years of software engineering experience, with a strong background in designing, building, and operating distributed systems or infrastructure. - Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Go, Java, or a comparable language. - Experience designing and implementing technically complex systems, with a track record of delivering meaningful engineering outcomes. - Hands-on experience with cloud infrastructure and services, such as AWS, GCP, or Azure. - Demonstrated ability to independently own complex technical projects, navigate ambiguity, and drive solutions from design through production. - Deep technical experience in one or more of the following areas: - Cloud Infrastructure: Kubernetes, container orchestration, Terraform, infrastructure as code, networking, or service discovery. - Distributed Systems: Distributed architectures, fault tolerance, consistency, replication, or high-availability systems. - Data Infrastructure: Kafka, real-time streaming, distributed storage, OLAP/OLTP databases, or large-scale data processing. - Infrastructure Reliability: Observability, performance optimization, capacity planning, incident response, or production operations. - Developer Infrastructure: CI/CD systems, build and deployment infrastructure, developer environments, or internal developer platforms. - Strong architectural judgment, with the ability to evaluate technical tradeoffs and design systems for reliability, performance, and long-term maintainability. - Ability to communicate complex technical concepts clearly, collaborate effectively, and influence technical decisions across engineering teams. - Experience improving engineering practices, sharing technical knowledge, or helping other engineers grow. We recognize that strong engineers come from different backgrounds. You don't need experience in every technology or domain listed above. We're interested in candidates who bring meaningful technical depth, strong engineering judgment, and a track record of solving challenging problems. The base salary range that Sentry reasonably expects to pay for this position is $240,000 to $400,000, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Responsibilities: — Collaborate with regional sales leaders, Account Executives, and Marketing teams to develop qualified AWS and Neo Cloud pipelines, facilitating opportunity expansion, deal acceleration, and business closure. — Increase AWS Marketplace transactions by identifying early opportunities and coordinating private offers, commercial requirements, and purchasing steps. — Integrate partner engagement into regional sales cadences, ensuring opportunities are registered and maintained in AWS ACE with clear ownership and next steps. — Manage the AWS Strategic Collaboration Agreement end-to-end, including tracking obligations, milestones, benefit requirements, reporting, and resolving obstacles to maximize value. — Lead executive engagement across AWS and Neo Cloud partners by preparing sponsors, aligning priorities, conducting business reviews, and ensuring follow-through. — Own the AWS joint business plan, partner programs, and strategic initiatives, measuring pipeline, revenue, Marketplace adoption, and delivered value. — Collaborate with Leadership, Product, Engineering, and Support teams on Neo Cloud joining opportunities and commitments. Requirements: — Minimum 8 years of experience in alliances, partnerships, or related roles within enterprise software, cloud infrastructure, data, or AI companies. — Proven success in generating partner-sourced pipeline, revenue, and customer wins through AWS. — Experience working directly with regional sales leaders, quota-carrying Account Executives, and Marketing. — Hands-on experience with AWS Marketplace transactions and managing opportunities via AWS ACE. — Experience administering strategic cloud agreements and realizing their benefits. — Ability to build executive sponsorship and manage sensitive partner relationships through organizational changes or competitive dynamics. — Experience establishing practical processes, operating cadences, metrics, and cross-functional accountability. — Technical fluency in cloud infrastructure and Kubernetes, with the ability to learn Ray and Anyscale. — Candidates with transferable experience excited to learn AI infrastructure and distributed computing are welcome. Benefits: — Competitive salary and equity. — Health, dental, and vision coverage with many plans up to 99% employer-covered. — Flexible time off, in-office commuting stipend, daily in-office lunches, paid parental leave, and mental health support. — Direct ownership of strategic cloud relationships with access to Anyscale’s leadership and technical teams. — Opportunity to connect open-source adoption, AI infrastructure innovation, and enterprise customer growth. Additional Information: — Recent partnerships with Azure, CoreWeave, and Google Cloud enhance AI-native compute integration into enterprise environments. — Remote work is possible. — Salary is paid in currency (unspecified).

Responsibilities: — Maintain and strengthen relationships with existing Payment Service Providers (PSPs); — Act as a point of contact for partners, ensuring clear, timely, and professional communication; — Coordinate partner onboarding, including documentation and follow-ups through to launch; — Work closely with Payments, Product, Technical, and Finance teams to address partner requests and resolve operational issues; — Review existing partners and connected payment methods, identifying performance concerns and opportunities for improvement; — Follow up on outstanding issues, track agreed actions, and keep internal teams informed of progress. Requirements: — At least 1 year of experience in account management, partner management, or a similar client-facing role, preferably within payments or fintech; — Strong ownership and a responsible approach: able to follow tasks through to completion and escalate issues when needed; — Excellent communication and relationship management skills; — Strong organisational skills and attention to detail; — Ability to coordinate multiple stakeholders and manage competing priorities; — Basic understanding of PSPs, card acquiring, Open Banking, and APMs is an advantage; — Fluent English and Russian, written and spoken; — A collaborative attitude, initiative, and willingness to learn. Benefits: — Opportunity to work with leading PSPs, payment gateways, and acquirers in the industry; — Sports and lunches compensation; — Work equipment tailored to your needs (Mac / Windows / Linux); — Team events, private medical insurance after the probation period, additional perks, and full support with work permit arrangements. Candidates already located in Cyprus are considered.

Location: Remote Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished Golang/Blockchain Engineer who is able to fit into an existing highly-skilled global dev team. RESPONSIBILITIES: - Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment. - Write open-source Golang clients that allow users to interact directly with our protocol and smart contracts. - Build high performance REST & WebSocket APIs to power our exchange frontend as well as programmatic traders WHO YOU ARE: - Worked on at least two production Golang codebases that are reasonably large and performant - Familiar with Geth or Erigon - Strong knowledge of Go idioms and libraries - Strong knowledge of CS fundamentals such as data structures and API design - Strong understanding of blockchain - Ability to communicate technical concepts with other technical and non-technical team members NICE TO HAVE - Experience with Cosmos-SDK/Tendermint - Experience with Ethereum/Solidity (bonus points if you've worked with Layer-2 before!) - Knowledge of financial instruments and markets WHY WORK WITH US? - Competitive salary and INJ token award - Unlimited PTO - Equipment - Home Office Stipend - Flexible working hours - Opportunity to work on cutting-edge blockchain technology in the finance industry - Collaborative team culture with opportunities for professional growth and development - Global team meet ups As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: Remote - Canada Narvar is Growing! We're looking for a leader to own the machine learning systems behind post-purchase commerce — identity, fraud, and the intelligence layer that agentic AI runs on. Hundreds of millions of consumers interact with Narvar every year, across 20B+ orders and 1,300+ retail brands. That data powers three systems: Graphite , our identity resolution engine that ties fragmented consumer data into a single verified identity across retailers; IRIS , our fraud and returns-abuse detection engine built on top of it. You'll own the ML organization behind all of it — the models, the platform they run on, and the people who build them. This is a role for someone who wants a system with real consequences: fraud decisions that move retailer margin, identity resolution that agents make automated decisions on, and an adversary on the other side who adapts every quarter. For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote. Day-to-day Own the ML charter across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence — strategy, roadmap, and delivery Build and grow a high-performing, globally distributed team of ML engineers; hire, coach, and develop senior ICs and managers Set the technical bar for how models get built, evaluated, deployed, and monitored — and hold the org to it Push identity resolution coverage, precision, and profile classification accuracy against a measured, frozen-holdout baseline — not against vibes Own IRIS model performance end-to-end: detection rate, false-positive rate, label quality, and the feedback loops that keep both honest as fraud patterns shift Build the ML platform layer — feature stores, training pipelines, model registry, online serving, drift and performance monitoring — so model velocity isn't bottlenecked on infrastructure Partner with the AI engineering team so identity and risk signals are first-class inputs to NAVI's agent decisions Work directly with Product, Engineering, Security, and Customer Success to translate messy retailer problems into ML problems worth solving — and to say no to the ones that aren't Own build-vs-buy and data-partner decisions (third-party identity data, enrichment providers), including the economics Communicate model performance, risk, and tradeoffs credibly to executives, retailers, and the board What We're Looking For We care more about judgment and ownership than credentials. You're likely a strong fit if you: Have 12+ years in engineering with 5+ years managing ML or data teams, including managing managers or senior ICs Are an engineer at heart — you can still read a training pipeline, review a feature spec, and tell when an eval is measuring the wrong thing Have shipped ML systems that make consequential automated decisions in production, and have owned them after launch — drift, retraining, incidents, and all Have deep experience with at least one of: entity resolution / identity graphs , fraud and abuse detection , risk scoring , or anomaly detection at scale Understand what makes ML different from software: labels are noisy and delayed, systems fail silently, offline metrics lie, and last quarter's model is fighting last quarter's adversary Have opinions about evaluation — precision/recall tradeoffs on heavily imbalanced data, holdout hygiene, feedback loops where the model's own decisions contaminate future labels Have built or scaled ML infrastructure: feature pipelines, training orchestration, online model serving with real latency budgets, monitoring and alerting Are fluent in Python and comfortable in a modern data stack (Spark, Airflow or equivalent, streaming, cloud data warehouses — we run on GCP) Have hired well, retained well, and can point to engineers whose careers got better on your watch Excel in a fast-paced environment with a flat structure — you set direction by earning trust, not by mandate Have a BS/MS in computer science, statistics, or an equivalent background Bonus points These aren't hard requirements, but strong indicators: You've worked on identity resolution or graph systems against third-party consumer data (credit bureau, telecom, or similar), including the matching logic and confidence scoring underneath You've operated adversarial ML systems where attackers actively adapt to your detection You've built real-time inference paths where identity or risk has to be resolved inside a request budget You've worked in retail, payments, fintech, insurance, or marketplace trust & safety You've partnered closely with LLM/agent teams and understand how structured ML signals ground agentic decisions You've navigated privacy, consent, and data-governance constraints on consumer identity data You've done 0→1 — stood up a function, a platform, or a data partnership from nothing You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking Why ML at Narvar? Because the data is genuinely rare and the problems are genuinely hard. The dataset is a moat. Cross-retailer visibility across 20B+ orders means we can see coordinated fraud patterns no single retailer can — a returns abuser hitting five brands looks like a good customer at each one. The problem is adversarial and unsolved. Returns fraud and policy abuse are growing faster than retail itself, and the counterparty adapts. There is no off-the-shelf answer. The stakes are measurable. Fraud loss, false-positive cost, identity coverage, resolution rate. Not vanity metrics. It feeds something bigger. As AI shopping agents enter commerce, every agent will need a trust layer for returns, claims, and delivery promises. Identity and risk are that layer — and you'd own it. The work is greenfield enough to matter. Real-time resolution, cold-start modeling, historical backfill, new data partnerships — these are decisions still being made, not legacy you inherit. Why Narvar (from an engineer's perspective)? Real scale, real customers, real consequences Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across Canada. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Salary Range $240,000 — $260,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

Location: Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX is hiring a Senior Compliance Officer to build and run our global derivatives trade and transaction reporting function. The function covers CFTC swap data reporting under Part 45, EU transaction reporting under MiFIR, EU derivatives reporting under EMIR, UK MiFIR and UK EMIR, and ASIC derivative transaction reporting across multiple OKX entities and a growing derivatives product set. These regimes have different scopes, reporting parties, data requirements and destinations. You will determine how they apply to OKX’s activities and help build a reliable process for meeting each obligation. Most of the work is data and judgment: deciding what is reportable, by which entity, and to whom, then making sure the right trade and lifecycle data reaches the right swap data repository, trade repository, or regulator on time and reconciles to our trading records. You will own reporting scoping/eligibility, submission monitoring, and the controls that show our reports are complete, accurate, and timely. This is a hands-on Compliance leadership role. You will work with Trading, Product, Engineering, Data, Legal, local Compliance teams and reporting providers, and you will lead regulatory change in this space. Responsibilities for source data, systems, submissions and remediation will be agreed across those teams; you will lead the compliance framework and stay close enough to the process to identify and proactively resolve problems. You will report to the Head of Markets and Product Compliance and support a central function that owns reporting interpretation, scoping, oversight, and remediation for every entity in scope. What You’ll Be Doing Interpret and apply derivatives and transaction reporting rules across global regimes, including CFTC Part 45, MiFIR Article 26, EMIR Article 9, UK MiFIR, UK EMIR, and the ASIC Derivative Transaction Rules (Reporting) 2024, exercising independent technical judgment, supported by Legal and outside counsel. Own and maintain entity, product, and transaction-level reporting scoping and eligibility: which entity reports, which products and lifecycle events are in scope, which counterparty role triggers the obligation, and which repository or authority receives the report. Oversee, support, and help maintain the daily reporting process. Monitor submissions against deadlines, including T+1 for MiFIR transaction reports, investigate rejections and breaks, and track each one to resolution. Reconcile reported activity to trading records and repository data, and coordinate corrections and back-reporting with the teams that own the relevant systems and data. Define and maintain the reporting data specification with Engineering and Data, including field-level mapping, reference data such as LEIs, UTIs, UPIs, and ISINs, and the validation rules applied before submission. Build and run the control framework: completeness, accuracy, and timeliness checks, exception management, management information, and records that hold up to regulator and audit review. Drive reporting readiness and remediation. Assess new derivatives products, new entities, and regulatory changes, identify control gaps, agree on owners and deadlines across Compliance, Operations, Product, and Engineering, and track delivery. Escalate material issues. Assess the impact of reporting errors, escalate to senior management, and support notifications to regulators where required. Manage relationships with swap data repositories, trade repositories, approved reporting mechanisms, and reporting vendors, including onboarding, testing, and service issues. Hands-on leader. Build a small team, and coordinate with and train local compliance leads. Support independent testing by Compliance Monitoring, Risk, and Internal Audit, and support regulator inquiries with complete, reproducible records. What We Look For In You A degree in finance, economics, law, data science, or computer science, or an equivalent professional qualification 7+ years in trade reporting, transaction reporting, or regulatory reporting at an exchange, broker, bank, trading firm, fintech, or digital asset platform Deep working knowledge of at least two of the following regimes: CFTC swap data reporting, MiFIR transaction reporting, EMIR, UK MiFIR, UK EMIR, and ASIC derivative transaction reporting. Hands-on experience with both a US and a European regime is strongly preferred. A sound understanding of derivatives trade lifecycles and the data needed to report executions, changes, terminations and, where applicable, valuations and collateral. The ability to interrogate large datasets, investigate reporting breaks and explain clear requirements to engineers and other business partners. SQL or comparable data analysis skills are highly desirable. Experience building or improving a reporting framework, including procedures, reconciliations, exception management and evidence that can withstand regulatory or audit scrutiny; this may include remediating historical reporting errors, including back-reporting. The judgment to make proportionate risk decisions, escalate material issues and lead delivery across teams without relying on a single team to own every part of the reporting process. Experience with digital asset derivatives, such as perpetual futures and options, and how they map to reporting product classifications Nice to Haves Experience leading a regulatory reporting change program, such as EMIR Refit, UK EMIR Refit, the CFTC reporting rewrite, or the ASIC 2024 rules. Familiarity with ISO 20022 XML reporting formats. Python or similar scripting for data validation, and experience with data warehouse tools such as Databricks. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Americas Remote About Customer.io Over 9,000 companies, from scrappy startups to global brands, use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Hi! I’m Lauren, Senior Manager of Customer Success at Customer.io . I’m looking for a Senior Customer Success Manager, Strategic to join our Americas team and own relationships with some of our largest customers. You’ll guide each account from onboarding through renewal, tie platform use to the business results your customers care about, and partner with Account Managers, Technical Support, Product, and Engineering along the way. What we value Customer outcomes first: you connect what a customer does in Customer.io to the goals their business is trying to reach Ownership: you run your book of business, watch for risk early, and decide on next steps with confidence Collaboration: you work with Account Managers, Technical Support, Product, and Engineering to get customers what they need Curiosity about AI: you pick up new AI functionality quickly and bring it into your conversations with customers Adaptability: you handle a varied, non-verticalized book and a fast pace of change with a steady head What you’ll do Manage a book of roughly 20 to 35 Strategic customers, each above $100k in ARR, guiding them through onboarding, adoption, and long-term success Link platform use to measurable business outcomes, and track results such as renewal rate and growth dollars across your book Partner with Account Managers to spot and qualify expansion opportunities, shape renewal strategy, and keep customer value aligned with revenue goals Lead quarterly and executive business reviews, including onsite EBRs, and build mutual success plans with senior stakeholders Build relationships with several stakeholders in each account, including leaders above the day-to-day decision maker Read account risk closely, dig into the signals, and decide on the best next steps, including managing escalations Talk through technical needs with users, then raise the conversation to strategic impact with executive sponsors and give recommendations that keep customers renewing year after year Act as a bridge between Customer Success, Technical Support, Product, and Engineering, advocating for customers and bringing fresh perspectives to the CS org What we’re looking for Based in the U.S. or Canada, and open to travel 5+ years of enterprise CSM experience in SaaS, managing complex, strategic accounts Hands-on commercial involvement in renewals, upsell, or expansion, with a clear grasp of gross retention and expansion drivers Strategic, consultative skills: you can tie platform usage to business value and present that impact to executives through EBRs and partnership reviews Comfort with APIs, integrations, and data models, enough to problem-solve at a high level without handing off every technical question Influence across teams, with a track record of getting colleagues to focus on customer needs Enthusiasm for AI and the urgency to keep learning new functionality as it ships Bonus points! Background in martech, CDPs, or messaging platforms Spanish language skills Experience running client onsites Compensation & Benefits We believe in transparency. Starting salary for this role is $130,000 base + 10% variable (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Here's what you can expect from our hiring process: 30-minute video call with a Recruiter 45-minute video call with the Hiring Manager 60-minute Case Study Review with the Hiring Manager and potential team members Final 30-minute video call with Leadership All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read, apply now.

Responsibilities: — Design, build and maintain backend services in Go with clean, idiomatic, and readable code — Design gRPC and REST APIs, maintain stable contracts, and version them when changes occur — Write efficient PostgreSQL queries, design schemas, and create safe, reversible migrations — Properly use goroutines, channels, and context to avoid leaks and ensure correct timeouts and cancellations — Handle errors explicitly, including retries and idempotency for repeatable calls — Write unit and integration tests covering business logic and failure cases — Implement structured logging, metrics, and health checks for problem diagnosis — Ensure service security by validating input, authenticating callers, and keeping secrets out of code and logs — Profile and optimize CPU, memory, and database load as needed — Write concise technical documentation for owned APIs and services — Review teammates' pull requests to maintain code consistency Requirements: — 1–3 years of commercial backend development experience in Go — Experience building or maintaining at least one production service in Go (REST or gRPC) — Proficiency with PostgreSQL including queries, indexes, and migrations — Experience using Docker and writing Dockerfiles — Basic Kubernetes knowledge is a plus — Experience integrating third-party APIs, preferably payments or webhooks — Familiarity with Git and pull requests in a team environment — Required skills include Go concurrency primitives (goroutines, channels, context), error handling, REST API design, gRPC and Protobuf knowledge, PostgreSQL SQL queries and migrations, Docker, Git, unit testing in Go, HTTP basics including JWT authentication, and Linux basics Nice to have: — Kubernetes basics (pods, deployments, logs via kubectl) — Experience with payment providers (Click, Payme, Uzum) or webhooks — Experience with message queues such as RabbitMQ, Kafka, or NATS — Redis — CI/CD with GitHub Actions — Monitoring tools like Prometheus or Grafana — Experience with Helm, ArgoCD, or other GitOps tools — Experience with HashiCorp Vault or other secrets managers — Experience with IoT or hardware integrations (barriers, cameras, ANPR) — Experience with payment providers and fiscal requirements — Networking experience including tunnels, VPNs (IPsec), and load balancers — Some knowledge of C#/.NET Soft Skills: — Takes responsibility for results beyond just completing tasks — Proactively asks for help when stuck — Communicates clearly about progress and blockers — Accepts code review feedback calmly — Learns new tools quickly — Pays attention to detail, especially in payment logic — Works well in a small team Candidate Assessment Process: 1. CV review including GitHub within 3 working days 2. Short call (20–30 minutes) discussing experience and role 3. Technical interview (60–120 minutes) covering Go basics, concurrency, PostgreSQL, REST/gRPC, and a live coding task 4. Final interview (30 minutes) with team lead discussing work style and offer Apply https://hh.uz/vacancy/139299572

Location: Kuala Lumpur, Malaysia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Financial Crime Quality Assurance (QA) team at OKX is part of the Compliance Assurance function and is responsible for reviewing and rating the quality of AML Transaction Monitoring alert disposition and Financial Crime Investigations performed by the Global Financial Crime Investigations Team. We are a team of risk-focused compliance experts who independently assess investigation quality, promote consistency in decision-making, and ensure compliance with AML/CFT requirements, internal policies, and regulatory expectations. By working closely with Operations, Product, and Compliance teams, we help strengthen financial crime controls and drive continuous improvement across the investigation lifecycle. About the Opportunity This is an exciting opportunity to join the Compliance Assurance Function of a regulated crypto business. As a QA Analyst, you will be responsible for conducting quality reviews of financial crime investigations, assessing investigator decision-making, and ensuring compliance with AML/CFT requirements, internal policies, and quality standards. You will work closely with Operations, Team Leads, and Product teams to drive continuous improvement, strengthen investigation quality, and support the effectiveness of the firm's financial crime controls. What You’ll Be Doing Quality Reviews – Conduct daily independent QA reviews of investigator and Sanctions casework, including Transaction Monitoring, Name Screening, EDD, and other AML investigations. Evaluate accuracy, completeness, adherence to AML/CFT policies, regulatory requirements, internal procedures, and the quality of case narratives. Assess whether investigative decisions are well-supported, risk-based, and appropriately documented, including escalation and disposition outcomes. Identify defects, document findings, and provide clear, constructive feedback to investigators and team leads. Stakeholder Collaboration – Partner closely with the Financial Crimes Operations team, Team Leads, Product teams, and other stakeholders to communicate QA findings, discuss quality trends, resolve process gaps, and ensure consistent interpretation of policies and quality standards. Build strong relationships across AML and other cross-functional teams to support a holistic approach to compliance and risk management. Quality Calibration & Internal QA Meetings – Participate in and facilitate regular QA calibration sessions to review complex or borderline cases, discuss grey areas, align on scoring methodology, and ensure consistency in quality evaluations across the QA team. Share key findings, emerging typologies, regulatory expectations, and best practices to improve review quality and reduce subjectivity. Performance Monitoring & Reporting – Monitor investigator quality performance, analyze QA findings and recurring error trends, and prepare regular quality reports and dashboards. Identify systemic issues, emerging risks, root causes, and opportunities to strengthen controls and support management decision-making. Coaching & Quality Improvement – Provide timely and actionable feedback to investigators and team leads to improve investigation quality, strengthen analytical skills, and enhance case documentation. Act as a Subject Matter Expert (SME) for AML investigations by providing guidance on complex or high-risk cases, typologies, and regulatory expectations. Support remediation activities by validating corrective actions and tracking quality improvements over time. Policy & Process Compliance – Ensure all reviews are conducted in accordance with internal AML/CFT policies, regulatory requirements, quality frameworks, and standard operating procedures. Escalate potential compliance risks, control weaknesses, or systemic issues identified during QA reviews. Continuous Improvement & QA Framework – Support continuous improvement by recommending enhancements to investigation procedures, QA methodologies, workflows, scorecards, sampling frameworks, training materials, and quality controls. Contribute to AI-enabled quality tools such as QA Copilot and participate in UAT, process validation, and implementation of new quality initiatives. AML Projects & Program Enhancements – Participate in AML-related projects, initiatives, and program enhancements as required. Provide QA expertise and support cross-functional initiatives aimed at strengthening AML controls, processes, and overall program effectiveness. Ad Hoc Responsibilities – Perform additional assignments and special projects as delegated by the supervisor, including process improvement initiatives, training support, root cause analysis, documentation updates, and cross-functional projects to strengthen the overall quality program. What We Look For In You Bachelor's degree in law, finance, business administration or a related field; a relevant compliance certification (e.g. ICA, CAMS) is an advantage 5-7 years of experience in a compliance, legal or regulatory role within financial services, fintech is required Prior experience in the cryptocurrency or digital asset industry is highly preferred, including familiarity with blockchain analytics tools (e.g. Chainalysis, Elliptic, TRM Labs) and crypto-specific financial crime typologies Strong understanding of AML/CFT regulations, financial crime investigations, transaction monitoring, and QA methodologies, with the ability to evaluate investigation quality, assess decision-making, and ensure compliance with regulatory requirements, internal policies, and quality standards Strong analytical ability, with the capacity to assess regulatory obligations, identify gaps and produce well-reasoned written analysis High attention to detail and the ability to maintain accurate records and produce consistent, high-quality documentation Fluent in English with clear written and verbal communication skills, including the ability to convey compliance requirements to non-specialist colleagues Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data. We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies like ClickHouse, enabling fast, complex queries across billions of records. As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues. In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience. This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data. WHAT YOU'LL DO - Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth. - Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability. - Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data. - Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and the unification of different event types into a common analytical platform. - Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges. - Partner with product engineering teams to understand their technical requirements, make informed tradeoffs, and deliver platform capabilities that support new product experiences. - Support Sentry's AI-powered capabilities by ensuring the platform efficiently serves the analytical workloads and production context required by Seer and other AI-driven experiences. - Set clear priorities and drive projects from design through production, helping the team execute effectively while managing competing technical and product needs. YOU'LL LOVE THIS JOB IF YOU - Enjoy leading engineers while staying closely involved in technical discussions, architecture, and complex problem-solving. - Get excited about building and operating large-scale distributed systems where performance, reliability, and efficiency matter. - Have a strong interest in analytical databases, storage engines, query systems, and the engineering challenges behind processing massive volumes of data. - Like working through difficult technical tradeoffs and turning ambiguous requirements into practical engineering solutions. - Take pride in building reliable production systems, understanding how they behave under load, and continuously improving their performance. - Enjoy collaborating with product engineering teams and understanding how infrastructure decisions influence the end-user experience. - Want to lead a team whose work directly supports Sentry's core products and growing AI-powered capabilities. QUALIFICATIONS - Significant professional software engineering experience, including experience managing and developing engineers, leading technical projects, and driving engineering execution. - Strong technical background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems. - Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following: - Analytical database infrastructure: Operating, scaling, optimizing, or maintaining OLAP systems such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production. - Complex distributed data platforms: Designing and building sophisticated systems using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of the underlying architecture, performance, and reliability. - Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity. - Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements. - Experience leading engineering projects from technical design through implementation, deployment, and ongoing operations. - Strong communication and collaboration skills, including the ability to work with cross-functional stakeholders and translate technical requirements into actionable engineering priorities. Bonus points for: - Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases. - Experience with query optimization, analytical storage architecture, or high-throughput data processing. - Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications. - Experience working closely with product engineering teams to develop infrastructure supporting customer-facing features. - Proficiency with Python, Rust, or similar backend programming languages. Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry's Infrastructure Engineering team is what makes operating Sentry simple, safe, and seamless for every other engineering team in the company. They build the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale without needing deep infrastructure expertise themselves. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the tools that power Sentry's growth: internal admin and change management tools, configuration automation, and the routing layer that underlies Sentry's architecture. You'll be responsible for technical vision, team health, system reliability, and partnership with engineering teams across the company who depend on your team's tools every day. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its operational model as the company grows. IN THIS ROLE YOU WILL - Lead a team of engineers building the internal control platforms that every engineering team at Sentry relies on to operate services safely. - Drive the evolution of Infrastructure Engineering's platform, including configuration management, traffic routing and environment controls - Own the team's technical direction, contributing to key decisions on API architecture, internal tooling design, and automation frameworks. - Nurture and grow engineers at different levels, providing support through coaching, mentorship, and career development. - Foster an inclusive, high-performing team culture focused on ownership, learning, and delivery. - Partner with Production Engineering, SRE, and Developer Infrastructure to make sure operational tooling stays consistent and well-scoped across the org. - Own the reliability, adoption, and roadmap of the team's tools while building a culture of technical excellence and pragmatic decision making. YOU'LL LOVE THIS JOB IF YOU - Are passionate about building tools that make operating complex systems simple for other engineers. - Enjoy solving infrastructure problems around configuration, routing, and automation, and turning them into clean, self-service abstractions. - Believe in using proven technologies and committing to a single, reliable choice rather than chasing novelty. - Think in terms of building for scale and cost effectiveness from day one, and for the needs of many teams rather than one. - Value cross-functional collaboration and thrive in hybrid, in-person settings with engineers across functions, levels, and geographies. - Take pride in building strong, healthy teams and enabling them to lead high-impact, multi-year initiatives. - Want to be part of a thoughtful, highly technical team that cares about long-term system health and operational simplicity. QUALIFICATIONS - 10+ years of software engineering experience, ideally with a focus on internal tooling, infrastructure automation, platform engineering, or distributed systems. - 4+ years of engineering management experience, including growing and managing teams of engineers. - Experience as a Tech Lead or Engineering Manager leading the architecture and long-term evolution of internal control platforms or similar systems. - Strong backend or full-stack engineering background, with solid Python skills. - Familiarity with Kubernetes, terraform, python, and a systems mindset for abstracting complex infrastructure for others to use. - Strong technical communication skills and a track record of effective cross-team and leadership collaboration. - Proven experience delivering and owning multi-year engineering initiatives in a leadership or technical leadership capacity. - Comfortable working across org boundaries and aligning priorities across infra, platform, and product teams. The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Responsibilities: — Work as a Senior DevOps engineer. Requirements: — Experience with Linux, Kubernetes, Docker, containerd, Helm, CI/CD pipelines. — Knowledge of Jenkins and GitLab CI. The company lifetech consists of talented minds and hardworking IT professionals. They successfully handle tasks of any scope and complexity ensuring high quality. Candidates can respond through the Runello bot.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore About the Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: Cloudflare Managed Defense (CMD): Network and application security monitoring for 'Under Attack' mitigation support. PhishGuard: Managed email threat detection and response service. Detection Engineering: ML model development and detection optimization. Together, INTERDICT provides comprehensive 24×7×365 protection across email, application, and network threat surfaces. Role Summary As a Senior Response Engineer within the Cloudflare Managed Defense Center (CMDC), you will serve as a subject-matter expert and technical escalation point for threat mitigation across Cloudflare’s strategic enterprise customer base. In this role, you will lead the response to sophisticated, multi-vector cyberattacks spanning OSI Layers 3, 4, and 7, operating beyond standard playbooks to diagnose anomalies, engineer custom mitigations, and stabilize mission-critical infrastructure under fire. Beyond active incident command, you will act as a force multiplier: architecting customer-specific defense strategies, authoring and refining automated detection logic, mentoring Tier 1 and Tier 2 engineers, and collaborating directly with Cloudflare Product and Engineering teams. We are looking for an experienced, high-ownership technical leader who excels during high-stakes incidents and is passionate about mentoring others while advancing threat mitigation at scale. CMDC operates 24×7×365. This role participates in a regional shift rotation and on-call escalation rota including periodic weekend and public-holiday coverage as part of a follow-the-sun model across AMER, EMEA, and APAC. Role Responsibilities Act as the technical lead and incident commander during high-impact, multi-vector security events, designing and deploying bespoke mitigation strategies when standard runbooks do not suffice. Perform deep-dive forensic analysis into complex Layer 3/4 and Layer 7 traffic anomalies, identifying zero-day attack patterns, sophisticated bot networks, and novel evasion techniques. Apply advanced mitigation strategies and filter malicious traffic using Cloudflare’s core security suite, including Magic Transit, Web Application Firewall (WAF), and Advanced Rate Limiting. Lead technical communications and incident bridge calls with enterprise C-level executives, principal network engineers, and security teams during critical events, clearly articulating root causes, impact assessments, and remediation paths. Monitor and investigate proactive security alerts across internal telemetry systems to rapidly triage incoming events, assess blast radius, and validate threat severity. Adhere to and champion strict customer SLAs for alert response times, event analysis, and clear executive reporting. Mentor and elevate Tier 1 and Tier 2 engineers through structured shadowing, technical post-mortems, and internal training. Partner with internal Engineering and Product teams to translate operational attack trends into prioritized platform enhancements, tool feedback, and automated detection logic. Role Requirements (Must-Have Skills) A minimum of 6–8 years of hands-on experience in a high-volume Security Operations Center (SOC), Managed Detection and Response (MDR), network engineering, or incident response environment dealing directly with live threat mitigation. Comprehensive knowledge of networking principles and internet infrastructure, including TCP/IP, UDP, ICMP, DNS, BGP routing mechanics, and edge network design. Deep expertise in Layer 7 protocols and web architectures (HTTP/1.1, HTTP/2, HTTP/3, TLS handshakes/ciphers, reverse proxy models, and API security). Experience analyzing network traffic data for anomaly detection and designing, tuning, and executing advanced mitigation strategies against L3/L4 and L7 attacks, including bespoke countermeasures when standard playbooks are insufficient. Advanced proficiency in packet capture and network traffic analysis using tools such as tcpdump, Wireshark, or tshark to isolate anomalies and dissect malformed or novel payloads. Practical experience analyzing and mitigating security incidents using AI and machine learning tools, paired with the hands-on capability to build and integrate custom tooling that improves operational workflows, accelerates log telemetry analysis, and defends against AI-driven botnets and adversarial edge attacks. Proficiency in using the command line (Bash shell) alongside general system administration literacy across Linux, Mac, or Windows environments. Proven experience commanding incident bridges, making decisive risk-tradeoff decisions, and maintaining composure while managing enterprise stakeholders during high-pressure crises. Nice-to-Have Skills Direct experience querying large-scale distributed logging and analytics systems using SQL, GraphQL, ClickHouse, or SIEM platforms (Splunk, Elastic, Sumo Logic). Hands-on experience defending against advanced persistent threats (APTs), credential stuffing, scraping botnets, or application-layer bypass attacks against major CDNs/WAFs. Relevant industry certifications, such as CISSP, CCNP/CCIE, or advanced GIAC credentials (e.g., GCIA, GCIH, GNFA). What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Singapore 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 We are looking for an experienced Singapore-based Public Policy expert to lead Anthropic’s policy engagement in Singapore and across the region. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Southeast Asian government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how the region approaches AI regulation and safety during a critical period of governance development. As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Southeast Asia, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Singapore and the region from the ground up. In this role, you will: Conduct comprehensive mapping of key Southeast Asian AI policy stakeholders and build strategic relationships with government and regional multilateral officials, think tank researchers, and civil society leaders Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Southeast Asia context Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests Develop new programming and generate opportunities for Anthropic to regularly engage with regional policymakers, think tanks, and non-profit organizations Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to national regulatory environments Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Southeast Asia You may be a good fit if you: Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments Have a track record of effective, information-rich advocacy with the government of Singapore and other regional governments and multilateral organizations Have experience analyzing legislation and engaging in regulatory processes Are energized by agency — you will be the first policy hire in the region and will be building the operation from scratch Enjoy drafting and executing complex policy campaigns that move the needle Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information Excel at translating high-level vision into executable operational plans Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes Preferred Qualifications: AI/Technology industry experience heavily preferred Experience working with international companies or organizations Academic or think tank background in AI policy or related fields Experience in both government and private sector roles Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you 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.