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Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The next generation of revenue organizations will look very different from today's GTM teams. We're looking for a Revenue Enablement leader to help build that future, moving beyond traditional training delivery to create an AI-powered operating system that scales our revenue organization. This is not a conventional enablement role. As AI changes how products are sold, how reps learn, and how work gets done, you'll define the right balance of human and AI effort across our go-to-market teams and design the team and workflows to match. What will I be doing? Building the future of revenue execution Build a next-generation enablement function for an AI-native company, shifting from reactive training to intelligent systems that improve execution, productivity, and customer outcomes Design scalable operating models that keep pace with fast product and GTM cycles Embedding AI across the revenue lifecycle Identify high-impact opportunities in sales workflows, onboarding, coaching and feedback, product launches, customer interactions, and knowledge management Work with RevOps, Product, and Engineering to deploy AI-native tools, and drive adoption across Sales, Solutions, Partnerships, and Customer Success Connecting product to field readiness Integrate launch cycles, positioning, competitive intelligence, and field readiness so revenue teams can pivot quickly as products and customer needs evolve Leading organizational change Shape how team structures, roles, workflows, and processes evolve as we move to AI-first ways of working Lead change management, and advise executive leadership on the long-term strategy for revenue execution What skills do I need? 15+ overall years of experience, 5+ years of leading enablement teams at a technology company. Track record building or evolving enablement, GTM operations, or revenue systems functions in high-velocity SaaS or AI-native environments Mastery of strategic revenue systems, including: Complex revenue workflows High-velocity product launch cycles Next-generation GTM execution Precision sales productivity systems Hands-on experience operationalizing AI-powered tools and workflows across the revenue lifecycle Strong cross-functional partnership with Product, Engineering, PMM, Sales, and RevOps Ability to combine systems thinking with fast execution Experience leading complex organizational change We're intentionally looking beyond traditional enablement backgrounds. Strong candidates may come from GTM strategy and operations, commercialization, product operations, AI workflow design, or product-led GTM. You might be a fit if you: Think in systems and adapt quickly Thrive in ambiguity and enjoy building where no playbook exists Believe AI will fundamentally reshape how revenue organizations operate *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $310,000 - $332,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved. THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next. WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re hiring a Product Manager with deep UX and interaction design expertise to build social experiences around investing and trading at Kraken. You should be comfortable designing flows yourself, building interactive prototypes, and working through interaction details with designers and engineers. You’ll also own the product decisions: which customer problem to solve, what to ship first, and how to measure whether the experience improved.   THE OPPORTUNITY - Design complete social journeys. Work through how someone discovers a person, decides to follow them, shares an idea or trade, receives a response, and returns. Connect these interactions into an experience users understand without explanation. - Make the interaction details work. Shape navigation, information hierarchy, copy, defaults, gestures, and feedback. Specify what happens when a feed is empty, a post fails, content loads slowly, or someone changes their mind. - Prototype before committing to a build. Turn ideas into interactive prototypes that communicate the intended behavior. Explore alternatives, test the uncertain parts, and give engineering clear flows, states, and acceptance criteria. - Use psychology to improve participation. Understand why people hesitate to post, seek recognition, follow strangers, or respond to others. Translate those motivations into decisions about audience visibility, prompts, reputation, feedback, and the effort required to contribute. - Observe users and fix what gets in their way. Run usability sessions, watch people complete tasks, and combine those observations with funnel data. Identify where people misunderstand the product, lose confidence, or abandon an action. - Design for first use and repeated use. Make the experience useful before someone has connections. Keep sharing lightweight during an active trading session, with clear control over what becomes public. Test the twentieth interaction as carefully as the first. - Connect design decisions to measurable outcomes. For each significant change, define the expected behavior and how to test it. Track task completion, abandonment, first follows, first contributions, responses, and subsequent retention. Work with data science to evaluate experiments and effects on both contributors and their audiences. - Take the experience through launch. Choose a focused initial scope, resolve trade-offs with engineering, review the implementation against the intended design, and use post-launch evidence to decide what to improve next.   WHAT YOU BRING - Has designed and shipped consumer social experiences. Your portfolio shows your contribution to feeds, profiles, sharing, messaging, discovery, or communities—and how the experience changed after launch. - Has strong interaction design craft. You can explain why a flow is structured a particular way, what users will notice first, what they need to understand, and which decisions or steps can be removed. - Can build realistic interactive prototypes. You use Figma, code, AI tools, or a combination to make behavior tangible and testable, including transitions, empty states, and failure states. - Understands behavior through evidence. You can show where user research challenged your assumptions and changed a design. - Can own product outcomes. You can prioritize a problem, define success, interpret funnel and cohort data, and explain whether an experiment produced a meaningful improvement. - Understands the context of social finance. You account for how credibility, incentives, reputation, and visibility of financial activity affect what people trust and choose to share.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

Location: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what\'s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. An overview of this role As a Strategic Account Executive, you'll own a portfolio of strategic and large enterprise customers and prospects in France, helping them realize the full value of GitLab's AI-powered DevSecOps platform. You'll solve real business problems for senior stakeholders by breaking into net new enterprise accounts and expanding adoption within existing customers, using a consultative sales approach to connect their priorities with GitLab's DevSecOps and AI capabilities. You'll lead full-cycle, complex deals, collaborate closely with pre- and post-sales teams and strategic channel partners, and act as the voice of your customers by sharing their feedback and product ideas through GitLab\'s public issue tracker. In your first year, you'll be expected to build and execute focused account plans, establish a healthy, qualified pipeline, and drive successful evaluations and rollouts that set the foundation for long-term growth across your territory. What you’ll do Own a portfolio of strategic and large enterprise accounts in France, driving both new customer acquisition and expansion within existing customers. Lead complex, multi-stakeholder sales cycles from prospecting and qualification through evaluation, negotiation, and close using a consultative approach. Develop and execute focused account plans that connect customer priorities with GitLab’s AI-powered DevSecOps platform and GitLab Duo capabilities. Collaborate with Solutions Architects, Customer Success, Support, and Channel partners to run successful evaluations, rollouts, and long-term adoption of GitLab. Partner with strategic channel partners to plan and execute joint territory activities, co-selling motions, and campaigns that build and progress qualified pipeline. Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and with internal product and go-to-market teams. Maintain accurate activity, pipeline, and forecast data, and contribute to win/loss reviews to continuously improve sales execution and territory strategy. Work with Marketing to shape and support account-based and regional campaigns tailored to priority accounts and key buying centers in your territory. What you’ll bring Experience managing and growing large, complex strategic or enterprise accounts, including both new logo acquisition and expansion of existing customers. Background selling software, developer tools, or related technology solutions to senior business and technical stakeholders in enterprise organisations. Skill in building and executing structured account plans, managing pipeline and forecast data, and coordinating cross-functional resources across pre-sales, post-sales, support, and channel partners. Ability to run full-cycle, multi-stakeholder sales processes using a consultative approach, from prospecting and qualification through evaluation, negotiation, and close. Effective communication and presentation skills, with the ability to translate customer needs into clear input for product, marketing, and technical teams. Familiarity with Git, software development tools, or application lifecycle management, and interest in learning GitLab’s DevSecOps and AI-powered platform. Alignment with GitLab’s values, including transparency, collaboration, and inclusion, with openness to bringing transferable experience from different industries or backgrounds. About The Team You’ll join a regional Strategic Sales team that focuses on GitLab’s largest and most complex customers in the France. You’ll work closely with Solutions Architects, Customer Success, Support, and channel partners in a fully remote, asynchronous environment, using GitLab itself to plan, track, and document work across regions. We’re focused on helping enterprise customers standardize on GitLab at scale, navigate complex buying centers, and build long-term partnerships that align GitLab’s roadmap with customers’ business and technology goals. How GitLab Will Support You Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you\'re excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Identify and segment target clients. Develop a go-to-market strategy for each segment: priorities, channels, and communication approach.

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. Care Operations Manager - French Speaking Location: London, hybrid working with 3 days minimum in the office As a Care Operations Manager, you will be responsible for overseeing the daily operations of one of our contact centre teams based at our BPOs. You will collaborate with other departments to drive overall business success. Additionally, you will be expected to analyse operational data, identify areas for improvement, and implement strategies to enhance productivity and quality. Responsibilities Responsibility for the Care performance delivered to all sides of the marketplace for your areas through outsourced teams Work with multiple stakeholders (global and local) to own and manage day to day performance of service queues for customers, partners, and riders across multiple channels Create business insights and targets to measure Care performance Lead on projects and initiatives to transform performance across a wide range of KPIs e.g. (CSAT, Policy Adherence, AHT, QA) and own performance improvement strategies where required Identify and prioritise gaps with partners and internal stakeholders (e.g. policy, workforce management) and own performance improvement strategies where required. Independently own performance deep dives and lead updates with executives, Care leadership, and stakeholders Manage the performance of our outsourced partner(s), identifying areas for improvement and delivering action plans to ensure that targets are achieved and we deliver the best customer experience in your markets Make Care a true differentiator at Deliveroo, ensuring best in class customer satisfaction for all three sides of the marketplace Relentlessly drive change - surfacing issues across Care operations, generating hypotheses, and landing improvements You will present weekly, monthly and annual performance against Care action plans and objectives. Participation in the 24/7 emergency on-call rota, which works out at being on-call roughly one week every quarter. Requirements Fluent in French 2+ years experience as an Operations Manager (or equivalent), within a customer service environment (at a BPO or in-house). Can prioritise effectively - leading on multiple project workstreams concurrently and independently Has detailed understanding of customer service metrics e.g. (CSAT, Policy Adherence, AHT) and drivers of performance for these individual metrics Has solid analytical background and ability to drive insights through data (e.g. Excel pivot tables, INDEX MATCH) Has an excellent verbal and written communication skills Knowledgeable and comfortable working with CRM systems (e.g. Zendesk / Amazon Connect) and BI tools such as Looker, Tableau, Power Bi. Takes personal accountability for quality and accuracy of work Action oriented with experience leading performance improvement projects, such as turnaround plans, glidepaths to green. Why Deliveroo? Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, 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. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. 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 .

Описание вакансии IT-компания ARTW — один из лидеров крупной веб-разработки и внедрения корпоративных порталов, интеграции комплексных инфраструктурных решений для российского бизнеса в сферах ecommerce, ритейла, производства, телекоммуникаций и нефтегазового сектора. 20 лет на рынке, штат более 150 человек. Некоторые клиенты: НПФ Открытие, X5 Group, Газпром, О’кей, ЛУКОЙЛ, МТС, Рольф, Ростелеком, Ozon, IBS. Основные специализации: крупная веб-разработка, разработка и внедрение корпоративных порталов, мобильная разработка, продуктовая аналитика, ux/ui дизайн. Проекты компании регулярно отмечаются профессиональным сообществом, в том числе наградами конкурсов Tagline Awards, Рейтинг Рунета, Золотой Сайт и других. Требования: - IaC: Terraform, Ansible - Cloud: Cloud ru - Container orchestration: Kubernetes, Helm - CI/CD: GitLab CI/CD, GitLab Runner - Secrets: HashiCorp Vault - IAM: Keycloak - Service Mesh: Istio - Metrics: Prometheus - Visualization: Grafana - Logs: Loki, Grafana Alloy - DNS / Security: DNS, TLS, CA/PKI - AI Observability: Langfuse - Policy as Code: OPA, OPAL - OS / Automation: Linux, Bash/Python Что предлагаем: - Работу в аккредитованной IT-компании - Есть возможность работать полностью удаленно или в офисе - Индивидуальный план развития — мы готовы обучать своих сотрудников и расти вместе! Процесс собеседования: - Интервью с рекрутером ARTW (10-15 минут) - Интервью с руководителем отдела и HR (1 час) - Оффер

Задачи: • Управлять командой (юрист + 2 sales-менеджера). • Развивать направление Corporate Services и партнёрскую сеть. • Консультировать клиентов по регистрации компаний, корпоративному администрированию, банковским счетам, ВНЖ, Non-Dom и другим услугам. • Сопровождать корпоративных клиентов и сложные кейсы. • Курировать внутренние компании группы. • Возглавить получение CSP-лицензии. • Развивать concierge-направление. • Взаимодействовать с банками, аудиторами, юристами, налоговыми консультантами и госорганами. • Представлять компанию на мероприятиях и привлекать новых клиентов. • Отвечать за выполнение P&L направления. Требования: • Опыт работы в Corporate Services на Кипре. • Опыт управления командой. • Практический опыт сопровождения корпоративных клиентов. • Понимание корпоративного администрирования и международного бизнеса. • Опыт взаимодействия с банками, аудиторами и государственными органами. • Опыт работы с P&L. • Русский и английский — свободно. • Проживание на Кипре. • Греческий язык и собственная сеть профессиональных контактов будут преимуществом. Условия: • Международная компания с офисами на Кипре и в Дубае. • Влияние на развитие бизнеса и участие в стратегических решениях. • Работа с международными клиентами. • Официальное оформление. • Современный офис в Никосии. • Возможности профессионального и карьерного роста.

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 Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases 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: 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 sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions. Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes. - Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation. - Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making. - Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve. - Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions. Your skillset: - Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability. - Proficiency in Python and SQL, with experience working with large, complex datasets. - A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking. - Experience collaborating with engineers to deploy, monitor and improve models in production. - Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions. The interview journey: - Intro with a member of our Talent Acquisition team - 30 minutes - 1st Stage: Virtual Interview with Hiring Manager - 45 minutes - 2nd Stage: Two on-site interviews - 50 minutes for a project discussion deepdive with member(s) of the Data Science team - 1 hour technical discussion around a case study with member(s) of the Data Science team - Final-stage: Virtual interview with key stakeholders - 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.

What you will own. Take product ideas from problem definition through design, implementation, rollout, and iteration, including experiments that may grow into standalone products.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Portugal ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Bucharest Workplace: Hybrid The Role Our Customer Engineering team works closely with Alchemy's customers to ensure a great user experience to help them maximize the value they get from the platform. You will manage the relationship from the start to ensure a smooth on-boarding experience and set up customers for ongoing success. You will ensure prompt and effective resolution of questions, problems, and requests. You will use your first-hand knowledge of our customers to inform our product roadmap and aggregate feedback to product and engineering teams. In this role specifically, you will work directly with our Account Abstraction and Wallet Services team to provide hands on product specific customer support, scale this support system, and shape feedback into product decisions. This role is meant for someone with a technical background who is looking to work with multiple sides of the business, with the main focus on delivering results for customers. What You'll Do: - Provide hands on technical support within the Account Abstraction product vertical - Deliver a stellar customer experience - Scale support through internal tooling and runbooks as well as contribute to devX improvements - Understand customer needs and how to meet unique challenges and goals - Determine gaps and new features we should build to iterate and improve our offering, partnering with internal teams to drive long term solutions - Be the voice of the customers - Build and maintain ongoing relationships with complex stakeholders, both internally and externally - Work in a quickly changing environment - Drive referrals from our customers What We're Looking For: - 1+ years of experience in a software development role - Technical degree - Experience and interest in Account Abstraction / Wallet Services - Strong analytical skills - Ability to understand and troubleshoot complex technical issues - Strong communication skills with internal and external stakeholders - Excellent people skills to monitor and measure customer performance - Interest in technology, blockchain, crypto - Experience with blockchain a large plus - Founded a company or built side projects, a plus - Experience in startups, a plus BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Москва Наша NLP команда занимается задачами, связанными с извлечением информации из документов, диалогов, текстов различной природы. Главной задачей для нас является создание готовых продуктов с LLM под капотом, а также создание self-service для бизнеса, где каждый может создать нужный ему сценарий (скилл) в режиме No-code. Обязанности * проектировать контракты API сервисов оценки: методы, схемы, коды ошибок, версионирование, идемпотентность * описывать пайплайны: приём документа → нарезка → вызов судьи → агрегация оценок → отчёт * собирать требования у владельцев баз знаний и превращать их в измеримые критерии * рисовать диаграммы: контекст, последовательности, состояния, данные * разбирать инциденты и расхождения оценок, ставить задачи разработке, принимать результат * взаимодействовать с заказчиками в рамках ТЗ. Требования * понимать и уметь объяснить, зачем нужно и когда не нужно: API, Swagger/OpenAPI, Kafka, JSON, ETL, Sowa, Redis, SQL, Postman, CI/CD * UML: последовательности, компоненты, состояния, ER * описание API на уровне спецификации, а не списка полей * опыт работы с командами разработки: декомпозиция, ревью реализации, приёмка * от 2х лет в роли системного аналитика на интеграционных проектах. **Будет плюсом** * опыт работы руками: настроить межсетевое взаимодействие через sowa, проверить API в Postman, написать SQL-запрос, достать значение из key-value хранилища * описание бизнес-процессов, BPMN * опыт с LLM: промпты, RAG, эмбеддинги, векторные БД, оценка качества ответов * python на уровне чтения кода и написания скриптов * опыт в Data governance или автоматизации контроля качества данных: RBAC/ABAC, data quality validation, управление консистентностью, документирование датасетов, policy-as-code. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000zł - 408.000zł How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

What you will do Build new strategic partnerships with travel companies, agency networks, airlines, OTAs, travel platforms, loyalty programs, fintech companies, travel-tech players, and other distribution channels. Build a specific partnership hypothesis for each account rather than sending a generic company presentation.