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Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: Financial Incentives (FIN) is where Garner's promise becomes real for a member: the moment they are paid back for choosing better care. Behind that simple experience sits one of the hardest problems in the company. FIN ingests claims and eligibility feeds from third-party administrators, adjudicates them against benefit rules, accumulates member benefit, and moves real funds through payments and treasury. It does this under heavy and growing load, carrying PHI and PII, at the point where high-volume data from outside partners first enters Garner. When FIN is right, members are paid accurately and on time. When it is wrong, the failure is financial and visible. We are hiring a Director to lead FIN Engineering, accountable for the full function (ingestion, eligibility, adjudication, accumulation, and payments/treasury): its correctness, reliability, security, and the pace at which it improves. You will lead a large, multi-team function, own its multi-year roadmap, and contribute to company-wide planning. The role is hands-on-keys: you will stay close to the code, the designs, and the incidents to hold a real technical opinion, and set an engineering quality bar the rest of the department measures itself against. You will report to the CTO and lead a group of Engineering Managers and senior individual contributors across FIN's value streams. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the outcomes, ingestion through payment. Define what "correct" means for adjudication and money movement, and be accountable for adjudication accuracy, payment timeliness, ledger reconciliation, ingestion SLAs, and the roadmap that moves them. Set the bar and the pace. Establish the validation standards and definition of "done" the function ships against and hold the line under delivery pressure, running a performance culture on evidence: highest-value work first, manual toil automated away, engineers accountable for outcomes. Stay close to the work. Join the hard design reviews, read the code, dig into incidents, and hold defensible technical positions on adjudication logic, event contracts, data modeling, and money movement. Make agent-first the default. Make AI-native engineering how FIN works, not a side experiment: build the harnesses, validation frameworks, and Claude Skills that let squads ship faster and safer, and mature the org from assisted toward autonomous with real guardrails. Own the technical direction. Guide the backend toward event-contract boundaries that let teams ship independently and scale to tens of millions of claims, with the fault tolerance a pipeline that cannot drop or double-pay a claim demands, and own the security and data-integrity posture at the edge where partner data enters and funds leave: validate, quarantine, and reconcile rather than assume the inputs are clean. Build and grow the team. Hire, level, and develop Engineering Managers and senior ICs, own interviewer calibration, and design the org's structure and decision rights so ownership is clear. Translate across the business. Partner with the CTO, Product, Finance, Operations, and payment partners to turn business needs into technical plans and communicate risk and tradeoffs in terms leaders can act on. The ideal candidate has: 10+ years building and operating high-scale, high-reliability backend systems, ideally ones that process large data volumes and/or move money. 5+ years leading engineering teams, including managing managers, in a high-accountability, high-urgency environment. Technical credibility at scale: you can reason through a design doc, a schema, or an incident timeline and write the validation criteria that catch failure. An opinionated point of view on agent-first / AI-native engineering: not just that teams should use AI, but how to make it the default operating model and mature it safely from assisted toward autonomous. Experience with the demands of sensitive data (regulated PHI/PII/financial data, unvalidated third-party inputs, encryption, access, audit) and an instinct for reconciliation-first design. Fluency in distributed systems and modern cloud: event-driven architecture, idempotency, fault tolerance, backpressure, and data consistency under load, plus AWS and API design. An ownership mindset: you move problems to resolution without being asked and optimize relentlessly for member and business impact. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $395,000 - $414,000 inclusive of bonus. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

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. About The Opportunity Core product role within the Advanced Trading PM team. Own advanced trading product lines and trading features for our onshore compliant markets( EEA ,US,SG,UAE and etc) — from strategy and PRD to launch and iteration — while keeping our product mechanics competitive with leading CEXs. What You'll Be Doing Product Ownership: Own the roadmap and delivery for assigned advanced trading product areas: account/margin model, order lifecycle, position management, market data surfaces, and trading UI on Web and App. Write clear PRDs and user stories; drive designs through review, UAT , launch, and post-launch iteration. Define success metrics and run continuous improvement loops on trading experience, liquidity quality, and risk outcomes. Competitive & Market Insight: Continuously benchmark against leading CEXs (Binance, Bybit, Coinbase, Kraken, Bitget, etc.) — deconstruct product mechanisms, fee/liquidity models, UX , and new launches. Track TradFi derivatives and onshore compliant-market developments; surface actionable opportunities. Trading Experience: Improve speed-to-trade, order tickets, Kline/charting, and active-trader retention features on Web and App. Partner with design and engineering to ship polished, high-performance trading surfaces. Liquidity, Execution & Risk: Contribute to liquidity parameters, fee tier design, and execution-quality tracking (spread, depth, slippage, fill-rate) under senior guidance. Support risk framework work: price limits, funding rate, index/mark price logic, leverage & position tiers — translating requirements into product specs. Compliant-Market Delivery: Work with compliance, legal, and local entity leads to deliver product changes for licensed jurisdictions (SG, EU/ MiCA , HK, US, BR, AU, UAE). Translate regulatory requirements into product specs without over-degrading UX. Cross-Functional Execution: Partner day-to-day with engineering, quant/risk, design, ops , BD, and institutional client teams. Communicate progress, risks, and tradeoffs clearly to the team lead and stakeholders. What We Look For In You 5+ years of product management experience, with at least 3+ years on crypto trading products (derivatives strongly preferred). Solid working knowledge of CEX product mechanisms: perpetuals/futures/options, margin models, funding rates, index/mark price, liquidation, order types, market microstructure Hands-on experience shipping trading features on Web and/or App at a top-tier CEX or comparable trading platform. Basic understanding of exchange liquidity economics and risk frameworks (maker/ taker fees, position tiers, leverage curves). Strong written PRDs, structured thinking, and cross-functional execution. Fluent English; Mandarin a plus. Nice to Haves Direct competitor experience at a leading CEX. Familiarity with at least one onshore compliant market (EEA, US, SG, AU, UAE, TR, BR). Prior experience at a traditional brokerage / TradFi exchange (e.g., IBKR, Futu, Tiger, Robinhood, CME, HKEX, SGX) — especially derivatives, margin, or trading UX. Familiarity with smart contracts, token economics, or tokenized RWAs. 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, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Agent Runtime Platform provisions and runs the compute and runtimes behind Anthropic's internal agents: secure, credential-managed environments where agents do real engineering and knowledge work at scale. As an Engineering Manager on these teams, you will be responsible for ensuring you and your team are identifying and removing friction and blockers to productivity, experimenting at the frontier, and building security and quality into agents. You also will help bring clarity, focus, and context to your teams in a fast-paced, dynamic environment. Responsibilities Own the technical strategy and roadmap, translating goals into concrete execution Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast-paced environment Stay hands-on: build and ship the runtime platform and tooling Define what secure agent execution means at scale, partnering with security teams on sandboxing, isolation, and credential management Build primitives that are composable and reusable across various agents Own infrastructure scalability and reliability: capacity planning across cloud providers, right-sizing, and operational excellence Collaborate cross-team, supporting internal teams bringing up their agents You May Be a Good Fit If You: Have 10+ years building and operating large-scale platforms or distributed systems Have 1+ years of management experience in a technical environment, particularly in building platforms or agents at scale Are deeply interested in the potential transformative effects of advanced AI systems and agents, and are committed to ensuring their safe deployment Have experience with container or VM orchestration at scale Are obsessed with productivity and transforming how we work Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: Engineering management experience on top of a strong IC track record Experience with harness engineering Experience with building security-sensitive infrastructure: sandboxing, workload isolation, credential management, or access control Experience with capacity planning and utilization across multiple cloud providers Experience working with researchers, engineers and other functional roles Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tel Aviv, Israel Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. We're hiring a Product Marketing Manager to lead Figma Weave's enterprise motion. On a small team where everyone's scope flexes, you'll also work across product marketing more broadly — defining how the product shows up for enterprise buyers, arming sales with what they need to close, and building the systems that turn enterprise accounts into long-term customers. Enterprise is the primary focus, not the only one: you'll move into PLG, growth, and launch work as the team's priorities shift. This is a strategic and hands-on role. You'll think in pipeline and narrative at once — translating product capability into value that lands with enterprise buyers, while staying close enough to execution to write the deck yourself. What you’ll do at Figma Weave: Build enterprise GTM strategy for feature, model, and product launches Own enterprise positioning and messaging, translating product value into terms that land with enterprise buyers Lead the sales enablement motion Own enterprise onboarding and adoption, from first use through expansion Develop customer proof: case studies, success stories, and industry examples Own enterprise-facing web pages and funnel Work across the full range of product marketing — launches, content, positioning — wherever the team needs it, not limited to enterprise We'd love to hear from you if you have: 6+ years in product marketing, with strong B2B/enterprise experience (the focus, not a strict requirement for every year of your background) A track record building enterprise GTM from positioning through launch and enablement Fluency with the sales motion — you've worked inside a sales cycle, not just alongside one Experience working cross-functionally across product, growth, and sales Comfort using AI tools to work efficiently — this is core to how the team operates Strong storytelling and writing skills Comfort with speed and ambiguity — priorities shift, and you move with them While not required, it’s an added plus if you also have: Experience in creative tech or design platforms Experience with partner-led or channel-led enterprise growth At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London, UK Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 Docebo is on a thrilling mission to actively build—not just maintain—an incredible regional marketing motion across EMEA, and we are looking for a true builder to lead the way. As the VP of Marketing, EMEA, you will masterfully own the strategy and execution that drives explosive growth, pipeline, and enterprise penetration across vital markets like the UK, SEEMA, DACH, and France. By brilliantly navigating the intersection of global brand consistency and local market realities, you'll construct a scalable go-to-market machine and co-own revenue outcomes hand-in-hand with our regional Sales leadership THE DAY-TO-DAY 🎯 - Architect the Strategy: Develop and execute Docebo's dynamic regional marketing strategy across Europe, tying it directly to pipeline targets and revenue outcomes. - Partner for Pipeline: Co-own the pipeline with regional Sales leadership—operating as a strategic partner fully accountable to the exact same numbers, not merely as a service function. - Drive the Campaigns: Lead comprehensive regional campaign planning, taking charge of digital marketing, events, partner marketing, and customer marketing initiatives. - Translate the Narrative: Take Docebo's powerful global AI product narrative and creatively craft messaging that deeply resonates with European enterprise buyers. - Balance the Brand: Ensure that all regional programs accurately reflect local market dynamics while rigorously maintaining Docebo's global brand and positioning standards. - Build the Team: Develop and lead a high-performing regional team, including field and regional marketing leaders, to create a culture of accountability, growth, and cross-functional trust. - Master the Resources: Serve as the strong voice for the EMEA market in global executive discussions while managing regional marketing budgets, agency relationships, and performance reporting with rigor. YOUR SUPERPOWERS 🦸‍♀️🦸‍♂️ - Marketing Maestro: Bring 14+ years of progressive B2B SaaS marketing experience with meaningful, high-level leadership responsibility to the table. - Revenue Rainmaker: Showcase a proven track record of leading international or regional marketing organizations with direct, measurable accountability for pipeline and revenue impact. - ABM Authority: Possess deep fluency in Account-Based Marketing (ABM) strategy and execution, fundamentally knowing what excellent execution actually looks like. - Strategic Peer: Demonstrate your experience in co-owning pipeline targets with revenue leadership and comfortably operating as a trusted peer to other regional leaders. - Campaign Champion: Leverage your strong background in demand generation, digital marketing, impactful events, and holistic integrated campaigns. - Data-Driven Decision Maker: Utilize your strong analytical capabilities to actively make strategic decisions with data, rather than just justifying them after the fact. - Globetrotting Leader: Manage budgets and agencies across multiple markets with exceptional stakeholder skills, and travel regularly across key EMEA markets (UK, Germany, France) with quarterly trips to our headquarters. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Warsaw, Poland Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment. Key Result Areas · Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle. · Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities. · Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues. · Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process. · Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission. · Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience. Requirements Essential Criteria · Bachelor's degree or equivalent qualification. · Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions. · Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail. · Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision. · Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment. · Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally. Desirable Criteria · Excellent organisational and time management skills, with a strong eye for detail. · Strong analytical and problem-solving abilities, with a continuous improvement mindset. · Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications. · Highly accountable, taking full ownership of work and outcomes. · Calm, resilient, and able to perform effectively under pressure while managing competing deadlines. · Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process. Location The position is home-based with travel if required. Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

Location: Warsaw, Poland Workplace: fully About Global University Systems (GUS) Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position We are seeking a meticulous and self-driven Senior Admissions Solutions Coordinator to take full ownership of the end-to-end admissions process for our UK and US partner universities. Working remotely from Poland, you will manage a live caseload, ensuring every application is processed accurately and efficiently while consistently meeting established KPIs. This role requires complete accountability for each student file from application through to enrolment. Key Result Areas · Manage a live portfolio of student applications, ensuring every case remains accurate, complete, and progresses efficiently through each stage of the admissions cycle. · Review, verify, and process application documentation in accordance with the admission requirements and quality standards of UK and US partner universities. · Take full ownership of individual performance metrics by meeting application deadlines, proactively identifying risks, and ensuring timely resolution of outstanding issues. · Act as the primary point of contact for students, partner universities, and internal teams, ensuring clear communication and seamless coordination throughout the admissions process. · Maintain the highest standards of accuracy and compliance by ensuring all applications meet institutional requirements before submission. · Monitor personal performance, analyse workflow efficiency, and implement process improvements to enhance productivity, accuracy, and student experience. Requirements Essential Criteria · Bachelor's degree or equivalent qualification. · Minimum of 2 years' experience in admissions management, student enrollment, or a similar administrative role within higher education or university admissions. · Proven experience managing high-volume application processing, documentation, and casework with exceptional accuracy and attention to detail. · Demonstrated ability to work independently in a remote environment, effectively managing priorities and delivering results with minimal supervision. · Self-motivated, disciplined, and capable of working independently in a remote, KPI-driven environment. · Excellent written and verbal communication skills, with the ability to manage multiple stakeholders professionally. Desirable Criteria · Excellent organisational and time management skills, with a strong eye for detail. · Strong analytical and problem-solving abilities, with a continuous improvement mindset. · Proficiency in using CRM systems, admissions platforms, and Microsoft Office applications. · Highly accountable, taking full ownership of work and outcomes. · Calm, resilient, and able to perform effectively under pressure while managing competing deadlines. · Committed to delivering a high standard of service, accuracy, and compliance throughout the admissions process. Location The position is home-based with travel if required. Other Information Please note this position is only available on our consultancy agreement. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.

RELOCATION TO CYPRUS | EXNESS Location: Based in Limassol office, Cyprus. Full relocation support available for you and your family. Company: Leading trading broker handling 40M+ trades a day with 2,000+ people across 13 countries serving 1M+ clients worldwide. What you will do: — Collaborate with stakeholders to gather requirements and translate them into analytical solutions and reports — Define, standardize, and maintain key business metrics and KPIs across teams — Analyze data to identify gaps, inefficiencies, and opportunities, proposing actionable solutions — Build, test, and maintain scalable data models, datasets, and intuitive dashboards using Tableau — Ensure data quality, consistency, governance, and automate reporting processes — Validate hypotheses, monitor KPIs, and deliver visually compelling insights for decision-making Requirements: — English proficiency (check if needed) — Bachelor’s or Master’s in Mathematics, Software Engineering, or Computer Science — 5+ years in BI: data analysis, visualization, reporting automation, full-cycle dashboard development — Strong SQL and analytical databases (Vertica, ClickHouse, Trino, Starrocks) — Proficiency in Tableau Desktop, dimensional modeling, metric governance, self-service analytics — Solid data analysis methods, basic statistics; understanding of AI/LLM in analytics Nice to have: — Tableau Certified Data Analyst or Architect — Experience with Semantic Layer / metrics layer / analytics engineering tools Culture & Benefits: — Competitive salary and annual bonus — Top-tier health insurance with family coverage (medical, dental, vision, mental health), life insurance — 21 days annual leave, public holidays, paid sick/maternity/paternity leave — Unlimited learning: courses, English lessons, career development; education allowance for school/kindergarten — Relocation support: flights, housing, visas, legal assistance; expat tax perks up to 50% exemption — Company car (MINI Cooper Countryman), gym access, sports clubs, corporate doctor, discounts, share scheme Hiring process: — Intro call with Recruiter (30 min) — English check (if needed) — Tech interview (90 min) + Test Task (up to 5 days) — Behavioural (60 min) + Final interview (30 min)

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist , you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What you’ll be doing: Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. Clearly communicate findings and recommendations to both technical and non-technical audiences. Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What we are looking for: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. Proficiency in Python and SQL, and familiarity with common data science and ML libraries. Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. Experience working with large datasets to generate actionable insights. A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: Familiarity with production environments, MLOps, or data pipelines. Experience working with large-scale data using PySpark or equivalent distributed data processing tools. Experience in gaming, e-commerce, or subscription-based products. Benefits: Discretionary bonus opportunity Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Sydney Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognised by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognising our commitment to employee wellbeing and a strong workplace culture.Who we are looking for:We are seeking a Vice President of Sales, APAC to lead and scale our business across all customer segments and key APAC markets, including Australia and New Zealand, Southeast Asia and Japan. Reporting directly to the Chief Revenue Officer, this executive will own regional revenue growth, lead high-performing sales teams, expand strategic enterprise relationships, and drive market expansion across APAC.This role will be based in our Sydney Office.Responsibilities:Lead, coach, and develop high-performing sales leaders and Account Executives across the APAC region.Own the regional sales strategy and execution to achieve ambitious revenue and growth targets.Build and foster a high-performance culture focused on accountability, customer success, and continuous improvement.Drive enterprise new-logo acquisition while expanding strategic relationships with existing customers.Lead forecasting, pipeline management, territory planning, and business reviews to ensure predictable growth.Partner closely with Marketing, Customer Success, Solution Consulting, Alliances, and regional partners to maximise market opportunities.Represent Creatio with executive customers, partners, and at industry events across APAC.Requirements:10+ years of successful enterprise SaaS sales experience, including 5+ years leading high-performing sales teams.Proven track record of consistently exceeding regional revenue targets and scaling enterprise sales organisations.Strong experience selling complex SaaS platforms to large enterprises and building relationships with C-level executives.Demonstrated ability to develop and execute go-to-market strategies across diverse APAC markets.Experience managing long, complex sales cycles and multi-million-dollar opportunities.Strong leadership, coaching, and talent development capabilities.Deep understanding of the APAC enterprise software market and an established executive network across the region.Experience in CRM, workflow automation, no-code/low-code, or adjacent enterprise software markets is a strong advantage.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia You see software development and team organization not as a rigid set of rules, but as a craft that deserves better tools. You want to design complex, data-rich productivity platforms where information architecture is a first-class problem, and you want to rethink how humans work alongside AI. If you are a designer who values hands-on craft, hates unnecessary bureaucracy, and wants the autonomy to build a team's design process from scratch, this role was built for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do YouTrack handles serious complexity – agile boards, backlogs, knowledge bases, helpdesks, and deeply customizable workflows – across teams from two-person startups to global enterprises. We’re at a point where the category's oldest assumptions are worth reconsidering. Issue tracking has relied on the same foundational blocks for years, but AI opens an opportunity to rethink how software can actively help teams get work done. We need a Lead Product Designer to shape where project management goes next while keeping a massive, mature surface area coherent, legible, and a pleasant to use. In this role, you’ll lead a small design team of two designers, own the overall design quality bar across the product, and act as an individual contributor on our hardest, least-charted problems. You’ll build a fresh design process from scratch with the full backing of a team lead who respects craft and values professional judgment. Day to day, you will: Shape a point of view on how project management and issue tracking evolve in an AI-native world and turn those concepts into tools people can actually use. Design how people work alongside AI capabilities in YouTrack, from conversational interfaces to inline assistance and background automation. Develop interaction patterns for unsettled problems, including surfacing AI confidence, making actions transparent, and keeping users in control. Prototype and test new concepts quickly, separating ideas that feel clever from those that genuinely reduce friction. Keep a large, deep product coherent so that boards, helpdesks, reports, and administration feel like a single cohesive engine. Partner with product management and engineering to shape roadmap priorities from a design perspective, influencing what gets built and why. What you’ll bring A deep commitment to craft ownership, holding yourself and your team to high standards without creating bottlenecks. Comfort building clear, lightweight processes, without turning them into restrictive bureaucracy. The generosity to share knowledge openly and collaborate across a broad, global design community. Clarity in your writing and reasoning, with the ability to explain complex design decisions in plain words. Comfort with ambiguity and a healthy appetite for finding the right questions before designing the answers. Strong opinions, loosely held, with a clear understanding of when to follow platform conventions and when to break them. What you’ll need Successfully led the design of complex, data-rich productivity tools or software systems where information architecture is a primary challenge. Proven understanding of how modern AI systems operate beyond single-turn prompts, including agentic workflows and multi-step execution. Experience mentoring and leading other designers, giving clear feedback that lands and raises the bar. Ability to design unified experiences that cater to small startup teams and large enterprise customers simultaneously. A portfolio showing a range of work from precise micro-interactions to large-scale information architecture. What success looks like Success means earning the trust of your team and peers through sound interaction choices and clear systemic improvements. You will establish a reliable critique rhythm and a structured way of working that helps your designers grow. Within your first few months, delivering clear patterns for our AI capabilities, paying down accumulated UX debt, and ensuring YouTrack remains both deep and remarkably quick on its feet. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work schedule. Enjoy the freedom to work from home or from the office. Extra time off. More days to relax, recharge, and do the things you love. Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. Assistance to help make your move as smooth and stress-free as possible. Free meals and snacks. Lunch and refreshments provided to keep you fueled. Health and wellness. On-site gyms or sports club stipends. Internal events. Company-wide celebrations and team gatherings. If this sounds like you, we’d love to hear from you. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems. Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role. If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you! Responsibilities Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture Design and implement a multi-tenant architecture supporting data isolation Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management) Build backend APIs and permission systems for the operations admin panel and publisher portal Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting) Game industry experience required On-site position only (remote work not available) Requirements Degree in Computer Science or a related field, with 5+ years of backend development experience Strong command of GoLang Proficiency with AI coding tools (Claude Code, Gemini, etc.) Solid RESTful API design skills; familiar with microservice architecture Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.) Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD Nice to have Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms Experience in backend development for games or game platforms Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification) Familiarity with in-app purchase (IAP), virtual goods, and order management Experience with multi-tenant SaaS / white-label platform architecture Familiarity with Elasticsearch Experience designing and optimizing high-concurrency, high-traffic systems Experience with app stores or content/game distribution platforms Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery Note: Less experienced candidate could be considered as middle-level developer. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.   Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role. If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you! Responsibilities Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI. Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews. Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management). Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding. Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage. Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews. Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews. Game industry experience required On-site position only (remote work not available) Qualifications and Skills Degree in Computer Science or a related field, with 5+ years of native Android development experience. Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents). Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus). Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture. Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage. Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management. Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions. Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub). Proficiency with AI coding tools to boost development productivity. Nice to have Understanding of the Chinese gaming industry, game app characteristics, and player needs. Experience in game development, publishing, or operations on major Chinese gaming platforms. Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles). Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification). Note: Less experienced candidates could be considered as middle-level developers. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers