Вакансии

Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb SENIOR DATA ENGINEER ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. ABOUT THE TEAM AND WHY THE ROLE EXISTS The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few. You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open. WHAT YOU’LL DO - Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures. - Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us. - Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events. - Design the lakehouse and time-series layer around consumer query patterns. - Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing. - Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management. - Make observability, cost, and performance first-class from day one. - Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team. - Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams. WHAT WE’RE LOOKING FOR Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind. Engineering Craft - 8+ years of building production data systems that other people rely on. - Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it. - Code that's easy for someone else to read, test, and delete later. - Strong understanding of data modelling for both streaming and analytical workloads. - Efficiency, quality, idempotency, and observability are taken seriously by default. Systems Design - You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries. - You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns. - You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost. - You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop. Operational Readiness - Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing. - You think about cost and performance early. - You instrument as you build: logs, metrics, and traces are part of the system from day one. - You design for data quality and governance up front covering contracts, validation, lineage, and ownership How You Think and Work - You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more. - You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way. - You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't. - You take ownership end-to-end: design, ship, operate, improve. - You say what you think including when it's an unpopular take. You change your mind when the argument is better. - You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again. - You're curious about how markets work. Data engineering on its own won't keep you interested here. - You're honest about what you know and what you don't, and quick to close the gap. - You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus. NICE TO HAVE - Lakehouse experience with Apache Iceberg or Delta Lake. - Familiarity with DataHub or similar metadata/lineage platforms. - Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required. WHAT YOU’LL GET - A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us. - Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum. - Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team. - A competitive salary package, with various benefits. - A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room. OUR RECRUITMENT PROCESS We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock

Location: United States; St. Louis; Detroit; Charlotte; Denver; Chicago; Seattle; Austin; Minneapolis; Phoenix; Atlanta; Washington D.C.; New York; Los Angeles; Nashville; Houston; Boston; Columbus; San Francisco; Dallas Workplace: Remote ClickHouse is hiring its first Senior Lifecycle Marketing Manager to own how we engage, activate, and grow our user base across the entire customer journey. Your mission is to turn Cloud signups, trial users, and prospects into pipeline and self-serve MRR through behavior-driven lifecycle programs across email and in-product channels. You'll design the nurture engine that powers both our PLG and sales-led motions. This is a hands-on, individual contributor role. You will build from the ground up as the first lifecycle marketer at ClickHouse, try new marketing strategies, and work with a passionate community of ClickHouse users. WHAT YOU WILL BE DOING - Own the lifecycle marketing strategy end-to-end, from Cloud signup onboarding through activation, conversion and expansion, with accountability for trial-to-paid conversion, MQL volume, and influenced pipeline. - Build behavior-triggered nurture programs that respond to product usage, content engagement, and intent signals, so the right message reaches the right user at the right stage. - Design and optimize onboarding journeys for ClickHouse Cloud signups, partnering with Growth PMs and the product team to align email touchpoints with in-product experiences and drive activation. - Run always-on nurture for the sales-led funnel, with segmented streams by persona, use case, and funnel stage that warm prospects for sales and accelerate open opportunities. - Build and run a testing roadmap across subject lines, send cadence, content formats, and channel mix, using results to improve engagement and conversion. - Report on lifecycle funnel metrics for PLG and SLG, analyze conversion at each stage, identify drop-off points, and implement improvements. - Track industry trends, competitor activity, and emerging technologies to identify new lifecycle opportunities. WHAT YOU BRING - 6+ years owning lifecycle, email, or growth marketing programs (onboarding, activation, nurture, retention). Years can be combined across roles. - At least 3 years at a database, data infrastructure, developer tooling, or API company, or another technical product sold to developers or data practitioners. - Proven track record of building behavior-triggered lifecycle programs that measurably improved activation, conversion, and pipeline at a PLG company with a free trial, free tier, or self-serve signup. - Analytical mindset, with the ability to interpret data, identify trends, run experiments, and make data-driven decisions. - Excellent written and verbal communication skills, with demonstrated ability to create engaging content for developers and to work closely with engineers and product partners. - Strong project management and organizational skills, with the ability to manage multiple programs simultaneously and meet deadlines. - Preferred: experience at a company with an open-source product. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Strategic Partnerships Manager, Deliveroo Express At Deliveroo, our mission is to transform the way people shop and eat, bringing the neighbourhood to your door by connecting customers, restaurants, shops and riders. We give people the opportunity to buy what they want, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. The Team This role sits within the New Verticals business unit on our Global Strategy, Product and Commercial team, reporting into the Head of Strategic Partnerships, Deliveroo Express with our broader team reporting up into the Director, GM of Drive EMEA and VP of EMEA Markets. We are responsible for setting the strategy and lighting up new verticals, ensuring that Deliveroo has the right to win in the new and highly competitive on-demand Grocery and Retail market. The culture within the  team is informal, fast-paced and entrepreneurial. Given the growth of the business and the senior stakeholder exposure, progression in the team can be fast. The Role Deliveroo Express is Deliveroo’s white-label solution that allows our partners to offer on-demand delivery directly through their own online websites / apps. Imagine going onto your favourite restaurant, grocer or retailers’ website and having an order delivered in as little as 20 minutes - from the customer’s point of view, you’re ordering directly with the restaurant / grocery / retailer, and it’s simply delivered by our rapid riders. For more, please see: https://merchants.deliveroo.com/what-we-offer/deliveroo-express As a Senior Strategic Partnerships Manager in the team, you will manage the day-to-day relationships with our white-label partners, which includes leading regular performance reviews, identifying opportunities for growth and overcoming operational challenges. You will work closely with various functions of Deliveroo to share insights from partners and ensure we are developing a “best in class” value proposition. With Deliveroo Express being a new product launched in April, you will play a pivotal role in defining the on-going strategy and driving success of this proposition. Using data to understand trends in performance and identify opportunities for operational excellence will be critical to your success in the role. You will need to be able to manage multiple projects at once, interacting with key functions such as Product, Operations and Commercial. You will use your business acumen and negotiation skills to win new business deals and build an on-going pipeline. Working with partners of this scale, you will often overcome challenges that Deliveroo is facing for the first time, helping to shape the future of how we work with and scale our white-label partners. Key Responsibilities Directly own the day-day relationship with Deliveroo Express partners across all verticals - Restaurants, Grocery and Retail Analyse and present insights on performance against KPIs during weekly/monthly/quarterly meetings and reviews Conduct detailed analysis and extract insights to deliver operational excellence and identify ways to course-correct if needed Identify opportunities to deepen and grow our partner relationships Develop on-going sales strategy for Deliveroo Express including pipeline development across markets, with support from your Commercial lead Conduct new business pitching and commercial negotiation for new partners, with support from your Commercial lead Qualities We’re Looking For DECISIVE AND INFLUENTIAL: ​you should thrive in a fast-paced environment, and be comfortable with making fast decisions, even in times of ambiguity and based on intuition. You are comfortable making recommendations and communicating them across the business persuasively. More importantly, you must have a strong desire to galvanise action within Deliveroo, thinking about the big picture but also not afraid to get into the weeds of a problem to get things done. ANALYTICAL AND COLLABORATIVE: ​there will be some number-crunching involved, but your role will also be about stepping back – you’ll need to see the bigger picture and understand how your insights are aligned with the direction the business is heading in. COMMERCIAL: you will need to excel in building relationships with local commercial teams, and external partners and understand how best to bring our proposition to grocers and retailers. You will need to build a deep understanding of the Deliveroo P&L and operations of the business. Requirements: 4-6 years’ experience in an account management, grocery/retail operations or strategy / strategic partnerships role. Confident in analysing data and extracting compelling and actionable insights Strong operational mindset to identify opportunities for excellence and course-correct when needed Partner obsessed , with effective relationship building, organisation and communication skills Collaborative team player who is able to get the best out of the people around you. Able to work effectively with various teams and all levels of Deliveroo. Experienced negotiator within the ability to drive mutual value for both partners and Deliveroo London-based with a minimum of three days required in the office Nice to have: Experience working with FMCG / grocery / retailer e-commerce or last mile operations preferable. Experience in working in a dynamic high-growth company is preferable Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform - Remove barriers to adoption so customers achieve their desired outcomes expediently - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions - Oversee renewals and forecasting, ensuring timely, successful commitments - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve - Monitor and report on customer health and usage - Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for - 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred - Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC - Hands-on experience with Salesforce and other industry-standard CS platforms - History of building strong relationships across executive, business, and technical stakeholders - Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams - Habit of staying current on industry trends, CS best practices, and the competitive landscape - Startup experience - High EQ with strong verbal communication and technical writing skills - Self‑motivated with a creative and analytical approach to problem-solving Bonus tacos if you have - Customer success or sales experience focused on developer tools - Renewal management experience - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon) - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor) ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

— Build, own, and maintain the Global AI Hackathon master plan, including milestones, critical path, dependencies, owners, and deadlines; — Drive execution across the complete lifecycle: preparation, launch, competition, regional phases, global final, awards, and closure;

Location: Ireland, Dublin 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. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions ·       Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. ·       Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. ·       Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations ·       Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. ·       Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. ·       Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate ·       Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. ·       Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. ·       Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. ·       Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. Skills and Qualifications ·       Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. ·       Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. ·       Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. ·       Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. ·       Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. ·       Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. ·       Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. ·       Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience ·       Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms. ·       Experience with AWS services, APIs, event-driven integration and infrastructure as code. ·       Experience building reconciled financial data, master/reference data or enterprise operational data products. ·       Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. ·       Experience working with globally distributed teams and supporting cross-functional transformation programmes. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR 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 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.

-Разрабатывать новые сервисы и функциональность Медицинского пульта ДМС. -Развивать backend-часть решения на Java.

Location: New Jersey; New York; Pennsylvania; Connecticut; Massachusetts Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

Задачи: — Искать новых поставщиков в Казахстане и за рубежом. — Вести переговоры и добиваться выгодных коммерческих условий. — Находить маржинальные товары и новые возможности для закупок. — Анализировать рынок, цены и альтернативных поставщиков. — Выстраивать долгосрочные партнёрские отношения. Требования: — Опыт в закупках от 5 лет. — Есть опыт поиска поставщиков и проведения переговоров. — Сильны в коммерции, аналитике и понимании рынка. — Проактивны, самостоятельны и ориентированы на результат. — Готовы к командировкам. — Опыт работы с производителями и международными поставщиками будет плюсом.

Location: Москва Мы – команда управления рисками блока сеть продаж. Мы создаем инструменты и сервисы, как классические, так и AI/ML-решения, которые позволяют минимизировать риски мошенничества в отношении клиентов и банка. Сейчас нам в команду требуется руководитель направления, который поможет нам выстроить систему регулярного мониторинга для каждого проекта, покрыв их метриками (AI/ML, бизнес, клиентские метрики), оперативного реагирования и эскалации западающих зон и организацию их исправления. Обязанности * Взаимодействие с бизнес-командами для сбора требований, согласования гипотез, презентации результатов и формирования бэклога. * Руководство распределенной командой инженеров и аналитиков данных (2 чел.). * Управление бэклогом команды: планирование, постановка, приоритизация и контроль выполнения в Jira. Ведение и актуализация проектной документации в Confluence. * Поиск, анализ и оценка новых источников с релевантными данными для использовании в работе. * Решение сложных аналитических задач: расчет бизнес-метрик, проектирование и реализация логики преобразования данных для анализа. * Разработка, оптимизация алгоритмов обработки данных на SQL, Python. * Формирование и формализация алгоритмов для построения отчетности и аналитических исследований. * Выполнение аналитических ad-hoc задач. * Проектирование, разработка и поддержка аналитических витрин и слоя данных в Greenplum, Hadoop, Spark, СМД. * Внедрение и поддержка процессов обеспечения качества данных (Data Quality): контроль стандартов, мониторинг целостности, точности и своевременности поступления данных. * Реализация и развитие BI-отчетности, дэшбордов для мониторинга динамики риска поведения / фрода и оценки причин изменений, выявления фродовых / подозрительных операций, оценки эффективности мероприятий по предотвращению рисков. Требования * Понимание основ проектирования, разработки и оптимизации ETL/ELT-процессов и дата-пайплайнов. * Опыт проектирования, создания и поддержки аналитических витрин данных. * Продвинутое владение PostgreSQL (создание процедур, оконные функции, поставка витрин через PXF), Python (pandas, numpy, matplotlib). * Опыт работы с распределенными системами, такими как Greenplum, Hadoop и Spark, СМД. * Навыки применения статистического анализа и методов машинного обучения (классификация, обнаружение аномалий) для решения бизнес-задач. * Способность решать сложные аналитические задачи: расчет метрик, анализ первопричин, формализация алгоритмов для выявления подозрительных активностей. * Опыт внедрения и поддержки практик обеспечения качества данных, мониторинга их целостности и точности. * Опыт разработки и поддержки BI-отчетности (Qlik, Navigator) и дэшбордов для мониторинга и аналитики. Условия * График 5/2, офис на м. Кутузовская; * Режим работы - офис; * Достойный уровень вознаграждения (оклад + годовая премия); * Возможность возглавить AI-направление и влиять на цифровую трансформацию банка; * Широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счёт компании; * Бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнёров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

Location: Minsk Workplace: hybrid About NRS National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. As a major player in the retail technology industry, NRS is expanding into next-generation cloud platforms, high-throughput retail ecosystems, and advanced analytics solutions. We are building modern, highly scalable systems designed specifically for high-volume retail operations and real-time reporting. This project represents one of the most significant technical initiatives in NRS’s history and offers a rare opportunity to join at the ground floor of a major strategic expansion. Role Overview: We are seeking a Senior Full Stack Engineer based in Minsk, Belarus to join our distributed engineering team. In this role, you will help architect and build core components of NRS’s next-generation retail platform. You will focus heavily on robust backend services written in Golang, high-throughput query performance, and leveraging ClickHouse for real-time reporting and large-scale data modeling, alongside modern front-end architectures using Vue.js and micro-frontends Experience with columnar/OLAP databases like ClickHouse is highly desired to support our analytical engine, but deep, hands-on mastery of SQL, data indexing, and database performance profiling is the primary requirement. You will work closely with engineering leadership, product managers, and architects across Israel, Belarus, and the U.S., contributing meaningfully to the technical direction, data architecture, and scalability of our products. This position requires 3 days a week in-office work at our office in Minsk to collaborate in person with local engineering peers, along with regular remote collaboration across our global teams Responsibilities: Technical Leadership & Architecture Architect, build, and maintain high-performance full-stack applications—ranging from real-time analytics dashboards to reporting pipelines—with a strong focus on Golang for backend microservices and Vue.js on the front end. Design, model, and optimize high-speed relational and analytical data stores—writing advanced SQL queries, materialized views, aggregation logic, and indexing strategies to power real-time reporting dashboards. Leverage analytical data stores (ideally ClickHouse ) to build ultra-efficient reporting engines and handle high-throughput data ingestion. Design and implement modular micro-frontend architectures to support scalable, independently deployable UI components across team boundaries. Take end-to-end ownership of core system components, high-throughput backend APIs, and event-driven microservices. Drive architectural design, technical planning, query optimization, and engineering best practices across the team. Ensure platform scalability, low latency, fault tolerance, and secure service design. Execution & Delivery Write clean, maintainable, highly efficient, and well-tested Go and JavaScript/TypeScript code. Collaborate with product and engineering teams in the U.S. and locally to translate complex requirements into robust, scalable technical solutions. Uphold code quality through thorough code reviews; we use AI-assisted tooling (Cursor, Copilot, Claude Code) as part of our workflow. Debug, profile, and optimize complex SQL queries, execution plans, database locks, and distributed backend microservices. Collaboration & Culture Participate in daily standups, sprint planning, and retrospectives to support continuous delivery. Communicate effectively across time zones and collaborate seamlessly with global engineering leadership. Required Qualifications: 6+ years of full-stack development experience , with at least 2 years in a senior or lead capacity . Solid Backend Expertise in Go: Proven track record of designing, building, and scaling Go-based microservices, concurrent applications, and REST/gRPC APIs. Deep SQL Mastery & Data Modeling: Expert-level knowledge of SQL, including writing complex joins, subqueries, query execution plan analysis (EXPLAIN), indexing strategies, schema normalization/denormalization, and performance profiling for large-scale reporting datasets. Modern Frontend & Micro-Frontend Mastery: Strong hands-on experience with modern JavaScript/TypeScript frameworks—specifically Vue.js (Vue 3 / Composition API). Demonstrated experience designing or working within micro-frontend architectures (e.g., Module Federation, single-spa, component isolation). Experience building end-to-end SaaS products, microservices, or complex distributed web platforms. Proficiency with Linux/Unix environments, Git, and CI/CD automation workflows. Strong problem-solving mindset with the ability to lead technical initiatives independently. Excellent English communication skills with experience collaborating with remote/U.S.-based stakeholders. Nice to Have: ClickHouse / OLAP Experience: Direct hands-on experience with ClickHouse or other columnar/analytical databases (Snowflake, BigQuery, Redshift) is a strong plus . Working knowledge of PHP (legacy service integration/migration). Familiarity with containerization and orchestration ( Docker, Kubernetes ). Hands-on experience with cloud platforms (ideally AWS ). Knowledge of real-time communication technologies ( WebSockets, gRPC, Kafka, or NATS ). We are pleased to offer: Hybrid work opportunity (3 days in the office)! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program - get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and  have over $1.5 billion in revenues.     We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our National Retail Solutions brand provides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: United States Workplace: Remote You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback. What you’ll do here - Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform. - Remove barriers to adoption so customers achieve their desired outcomes expediently. - Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations. - Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes. - Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting. - Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions. - Oversee renewals and forecasting, ensuring timely, successful commitments. - Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them. - Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones. - Develop deep expertise in Coder’s products to provide global customer coverage. What we’re looking for - 5+ years in customer success or a technical customer-facing role, with experience independently managing enterprise accounts and driving adoption, retention, and expansion. - Practical knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC; ability to discuss how these fit into a customer’s environment and inform their adoption strategy. - Experience guiding customer onboarding and deployments in SaaS or self-hosted environments. Able to understand a deployment architecture, ask informed questions about infrastructure and security, investigate common issues using logs and documentation, and turn findings into clear next steps. - Hands-on experience with Salesforce and other industry-standard CS platforms. - History of building strong relationships across executive, business, and technical stakeholders. - Consistent internal advocacy for customers and ability to provide actionable feedback for Product and cross-functional teams. - Habit of staying current on industry trends, CS best practices, and the competitive landscape. - Startup experience. - High EQ with strong verbal communication and technical writing skills. - Self-motivated with a creative and analytical approach to problem-solving. Bonus tacos if you have - Customer success or sales experience focused on developer tools. - Renewal management experience. - Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon). - Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor). - Hands-on familiarity with Kubernetes, cloud environments (AWS, GCP, Azure), or infrastructure as code tools such as Terraform. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located in Canada 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the Canada the OTE (On-Target Earnings) compensation range for this role is CAD 196,000 - CAD255,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

• Опыт работы именно в продуктовых IT-компаниях.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll own the products that help loveholidays grow direct relationships with hotels. By making it easier for partners to join us, manage their supply and improve their performance, you’ll help hotels achieve their commercial goals while giving our customers greater choice and value. Our ambition is to build an industry-leading operating system for our suppliers: bringing together onboarding, day-to-day management and the insights partners need to make better commercial decisions. You’ll help turn that ambition into a clear product direction. Your initial focus will be simplifying hotel onboarding and improving how effectively we turn direct hotel supply into bookings. You’ll be part of the Direct Hotels team, reporting to the Head of Product for Supply Platform. Working closely with Engineering, Design, Commercial, Operations and Analytics to build capabilities for hotel partners that support our broader supply strategy. The team sits within Platform, which provides shared technology and tools to help teams across loveholidays deliver the outcomes that drive value for our suppliers and experiences that delight our customers. Your day-to-day: - Own the product direction and roadmap. Translate the Direct Hotels ambition into prioritised opportunities, clear outcomes and achievable delivery increments. Make informed trade-offs between supplier needs, commercial value and technical investment. - Understand the people using our products. Work directly with hotel partners, contracting teams and loading operations to uncover problems, test ideas and understand what will drive adoption. - Improve the journey from onboarding to bookable supply. Simplify how information is collected, checked and maintained, using automation and self-service where they make the experience easier to navigate and more reliable. - Build towards supplier self-service. Develop capabilities that progressively give hotels more control over their relationship with us, working towards connected management tools and useful commercial insights. - Take products from discovery through to measurable impact. Work closely with Engineering and Design to prototype, test, deliver and iterate. Explore practical applications of AI, define success measures and use evidence from adoption, supplier feedback and commercial performance to guide what comes next. Your skillset: - Product ownership and strategic delivery: A track record of taking complex problems from discovery through to delivery and demonstrating meaningful user and business outcomes. The ability to connect a long-term vision to the next useful improvement, navigate uncertainty and drive delivery. - Supplier and user understanding: The ability to understand different users’ goals and turn complicated workflows into useful, intuitive products. Experience with B2B, supplier, partner or marketplace products would be particularly valuable. - Commercial and analytical judgement: Confidence connecting product decisions to growth, margin and operating costs, while considering value for both hotel partners and holidaymakers. Experience defining success measures, investigating performance and using data alongside qualitative research to make decisions. - Communication and technical fluency: Clear communication and the ability to align commercial, operational and technical colleagues around priorities, decisions and outcomes. Comfortable discussing APIs, integrations, data and platform constraints with Engineering. - Experimentation and AI curiosity: A practical approach to testing ideas and applying new capabilities, including examples of how you have used or evaluated AI to improve products or ways of working. Experience in hotel distribution or travel technology would be welcome, but is not essential. We’re also interested in people who have solved comparable supplier, marketplace or operational challenges in other industries. The interview journey: - Talent intro, 30 minutes - First stage with the hiring manager, 45 minutes - Final stage with key stakeholders, including a platform case to present, 1 hour - Behavioural and culture conversation with the VP of Product, 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Москва Наша команда занимается одним из приоритетных направлений в Блоке «Риски», а именно выстраиванием Системы управления рисками собственных строительных проектов Банка и его дочерних обществ с помощью ИИ агентов. Мы создаем, развиваем и поддерживаем систему управления рисками – от идеи о строительстве, через реализацию, до передачи готового объекта заказчику. Приглашаем вас стать частью системы управления рисками самых интересных и амбициозных строительных проектов в России. Ищем опытного Python-инженера, который любит ML, понимает его силу и ограничения, и хочет делать «настоящий» production-backend: надёжный, масштабируемый, с чёткой инженерной культурой. Стек технологий: Python 3.12+, FastAPI, gRPC/HTTP, Kafka, PostgreSQL, PyTorch/Lightning, инструменты для LLM-оркестрации, LangGraph, Grafana/OpenTelemetry, OpenShift, Jenkins. Обязанности * проектировать и разрабатывать backend-сервисы на Python для LLM-агентов и ML-пайплайнов (низкие задержки, высокая надёжность, observability) * выстраивать и развивать архитектуру агентских систем (оркестрация инструментов, память, планирование, безопасные guardrails, оценка качества) * внедрять ML System Design подходы: искать и применять передовые идеи и мировой опыт в области архитектур агентских систем * работать с данными и интеграциями: очереди/стриминг, базы, кэш, внешние API * проводить технические исследования (R&D), быстро прототипировать, измерять, масштабировать в прод * развивать платформу: тестирование, CI/CD, мониторинг, трассировка, расходы * влиять на инженерную культуру: код-ревью, дизайн-сессии, менторство. Требования * от 6 лет промышленной backend-разработки на Python с акцентом на надёжность и производительность * опыт проектирования распределённых систем и высоконагруженных сервисов * уверенная математическая база (вероятность/статистика/оптимизация), инженерный вкус и привычка мерить всё метриками. * практика работы с ML-системами в проде: фичи, офлайн/онлайн-оценка, A/B, наблюдаемость качества * навык разбираться в новых подходах (LLM-агенты, инструменты, память, RAG, оценка), критически их проверять и доводить до результата * готовность брать ответственность за продуктовые эффекты, а не только за код. Будет плюсом: * опыт построения agentic-архитектур (планировщики, многoшаговые цепочки, инструментализация, безопасность). * опыт реализации высокоэффективного инференса LLM моделей, глубокое понимание работы kernel для инференса * вклад в open-source или публикации/доклады * знание домена рисков. Условия * рабочее место в современном офисе по адресу г. Москва, проспект Кутузовский, 32 * режим работы: гибрид, удаленного формата нет * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС с первого дня работы для сотрудников и льготная медицинская страховка для близких * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Miami Workplace: Remote At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As WHOOP expands its global footprint, we are hiring a Marketplaces Senior Specialist to accelerate marketplace growth in LATAM. This individual will serve as a key regional marketing owner, responsible for executing digital campaigns, optimizing marketplace presence, and partnering cross-functionally to deliver performance across e-commerce platforms. You will play a vital role in ensuring WHOOP is positioned as the leading performance technology brand in LATAM. This role will be based remotely in the Miami area. RESPONSIBILITIES: - Own regional marketing strategy and execution for key marketplaces across LATAM - Localize global campaigns, manage media budgets, and collaborate with the Brand team to ensure creative relevance, cultural resonance, and compliance with marketplace standards - Manage and optimize marketplace presence, including product detail pages (PDPs), brand stores, and merchandising strategies to maximize visibility and conversion - Monitor customer reviews, ratings, and feedback to drive continuous improvement in brand perception and engagement - Plan, execute, and optimize paid digital campaigns across search and display to achieve performance and efficiency goals - Serve as the primary liaison for marketplace partners, distributors, and agencies, ensuring brand consistency and flawless execution - Analyze marketing performance and marketplace trends, providing actionable insights to enhance conversion, engagement, and ROI - Evaluate and develop new marketplace opportunities in collaboration with Sales to expand WHOOP’s regional footprint QUALIFICATIONS: - 3-5 years of experience in digital or performance marketing within Amazon, Mercado Libre, e-commerce, retail, or consumer marketing - Fluency in English and Spanish. Portuguese is a plus - Demonstrated success managing campaigns and product visibility across Amazon and Mercado Libre. - Experience operating in multi-country, cross-functional environments - Strong project management and executional skills, with attention to detail and a data-driven mindset - Excellent communication and stakeholder management skills, with comfort aligning regional and global priorities - Proficiency in using performance metrics to inform campaign optimization - Passion for fitness, health, and technology is a plus - Willingness to travel regionally up to 15%   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.