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Location: Toronto; San Francisco; New York Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! THE ROLE You'll lead marketing operations and analytics at Cohere. That covers the team, the martech stack, how we measure marketing's contribution to pipeline, and the budget and pipeline numbers marketing plans against. When leadership asks what marketing produced last quarter and what to fund next, the answer starts with your numbers. The role reports to the VP of Brand. You'll work most closely with the Marketing Chief of Staff and the heads of Growth and Demand and Product Marketing, and every week with Revenue Operations, Sales Operations & Finance. Web operations is part of marketing but doesn't report to this role. WHAT YOU'LL OWN THE TEAM You'll manage the marketing operations, automation, and analytics and data operations staff, and hire where you find gaps. Marketing is growing rapidly, so you'll also bring acquired companies' systems and data into our stack. MEASUREMENT The attribution methodology is yours, documented and signed off by Marketing, Revenue Operations and Finance. Each quarter you'll present marketing's pipeline contribution to the executive team and say what you'd change. Your analysts do the same for the program teams in Growth and Demand, Events and Product Marketing, showing which campaigns and channels are paying back their spend. SYSTEMS AND DATA Marketo, Looker, GA4 and 6sense are yours end to end, along with the campaign and lead side of Salesforce. That includes forms, nurture, lead lifecycle, scoring and routing. Campaign data needs to be structured well enough that analysts don't need workarounds, and target-account data has to reconcile to the governed account list. With Revenue Operations, you'll make sure the data behind marketing's pipeline numbers can't change without a record, so a bulk edit can't quietly rewrite marketing's results. A/B testing on nurture and forms sits with you too, sized so the results can be read. Over time we want fewer tools and fewer dashboards, with one governed source for each metric. BUDGET AND PLANNING NUMBERS You'll own the martech and operations budget and track budget and headcount across marketing. You'll also build the pipeline and capacity models marketing plans against. The Marketing Chief of Staff runs planning and the business reviews and leads the trade-off conversations with your numbers in hand. Marketing and Sales need to count pipeline the same way, every time. YOUR FIRST YEAR In the first 90 days, you'll document the attribution methodology and get it signed off by Marketing, Revenue Operations and Finance. By then we should also have an inventory of every reporting surface, each with a named owner, and your order for fixing the data problems you inherit. By three months, one governed executive dashboard has replaced the competing decks in business reviews, and rebuilt lead routing is in production. By six months, target-account reporting reconciles to the governed list, and anyone on the team can reproduce quarterly attribution from the documented method, with change control on the data underneath it. The stack is smaller than when you arrived, and some marketing workflows run on agents in production. Annual planning runs on your budget, headcount and pipeline models. WHAT WE'RE LOOKING FOR MUST HAVE - 10+ years in marketing operations or marketing analytics in B2B or enterprise software, including at least one high-growth company. - You've managed a marketing operations and analytics team and its martech budget, setting priorities across ops, automation and analytics specialists and hiring to fill gaps. - Hands-on Marketo and Salesforce experience with lead lifecycle, campaign structure, routing and the sync between the two. You've configured these systems yourself. - You've owned a multi-touch attribution model end to end and defended its definitions to a CFO or executive team. - SQL, and enough comfort in a governed BI layer like Looker to check a number yourself before you present it. - You've run the data side of an account-based motion, including the hygiene that makes a target account list reportable. - You've worked closely with Revenue Operations and Sales Operations without duplicating their work. - Experience in enterprise, regulated or public-sector buying environments, including GDPR and CASL as they apply to lead handling. - You already use AI and automation in your own team's work. NICE TO HAVE - Enterprise AI, infrastructure or developer-platform marketing. - You've built agentic or LLM-based workflows in GTM operations and measured what they saved. - Product-led funnel instrumentation running alongside a sales-led pipeline. - You've consolidated an inherited martech stack, or merged systems after an acquisition. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Cairo, Egypt Workplace: hybrid As an AM Operations Executive in the Retention team, you will resolve escalated partner issues that reach Account Management from Partner Support, owning each case through to closure accurately and within SLA. Beyond solving tickets, you will flag recurring issues and their root causes, helping keep our partners confident and active with Tabby Key Responsibilities What You Will Be Doing Own escalated tickets from Partner Support end to end, from investigation to resolution and confirmation with the partner. Resolve cases within SLA under high volume, prioritizing by urgency, partner impact and churn risk. Handle escalated partner conversations by phone and email, de-escalating and rebuilding trust. Work with Scoring, Risk, Product and Onboarding to remove blockers and deliver lasting solutions. Spot partners at risk of churn or inactivity and act proactively to retain them. Keep QA scores high, reopen rates low, and CRM and ticket records accurate. Analyze ticket trends, flag recurring issues and contribute to better escalation workflows, templates and SOPs. Skills, Knowledge & Expertise You Should Get in Touch With Us If You: Have 2–3 years of experience handling tickets or escalations, ideally in fintech, payments or e-commerce. Hold a Bachelor's degree in business, sales, or a related field of course, Have a track record of high accuracy (e.g., 95%+ QA score, low reopen rate) and consistently meeting SLAs. Are fluent in written and spoken English. Are professional and confident on calls, and able to de-escalate difficult conversations. Are solution-oriented: you fix root causes and flag recurring issues. Can prioritize effectively under high volume. Preferably know Tabby's onboarding flow and internal CRM, and have worked with teams such as Scoring, Risk or Product. Have basic reporting skills in Excel or Google Sheets. To Be Successful in This Role, We Believe You Will Have: Full ownership of every case through to closure. A calm, clear head under pressure. A detail-driven, process-minded approach. Strong communication skills and a genuine interest in fintech and e-commerce. We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals. Job Benefits .

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. THE OPPORTUNITY: We're now growing our consumer business and building new services for self-employed people and freelancers. To support that, we're looking for an Influencer Marketing Manager to run creator campaigns for Taxfix and Steuerbot. Most people find taxes stressful. Hearing from a creator they already trust that they got money back in one evening is more convincing than an ad. That's why creators are a big part of our marketing. We run the channel in-house with a significant yearly budget and use it both to bring in new users and to build trust in our brands. The hard part is doing both at once: getting new users at a good cost while keeping the content credible for the creator's audience. This role reports to the Influencer Marketing Lead and focuses at first on our two German brands, Taxfix and Steuerbot. WHAT YOU'LL DO - Run and scale creator campaigns from start to finish: find creators, reach out, negotiate, brief them, review content, take it live and report on results. - Negotiate deals that make sense for both sides. Push back on first prices and agree on terms like view guarantees or performance-based pay. - Build long-term relationships with creators and their managements, and decide how we work with them across both brands. - Run frequent hypothesis-driven experiments. We put strong emphasis on asking the right questions, good experiment design, and generating actionable data and interpretations. You own large parts of creator and influencer experimentation. - You continue to expand our creator database and context layer, allowing you to work very data and insight driven, and enabling AI agents to work alongside or for you equipped with the right data and context. - Automate the repetitive parts of your job with n8n, Claude Cowork/Code and GitHub, so research, scoring and reporting run on their own and you can spend your time on higher value work with creators, negotiations, content and strategy. - Seasonal campaign planning across multiple platforms, formats and creator sizes. WHAT YOU'LL BRING - 2–4 years of hands-on experience running influencer campaigns on TikTok, Instagram and YouTube, at a brand or an agency. - You’re highly curious about the creator economy and thrive on turning complex, ambiguous challenges into practical solutions in a high-agency role. - You’re an effective and confident negotiator who always strives to get the best deal and who’s not shy to walk away from a deal. - You’re highly analytical and very comfortable with processing and critically interpreting data sets, with an eye for detail. - You are on the path of becoming an AI builder with first basic to advanced workflow automations or other agentic solutions under your belt with measurable impact. - You’re experienced in general in how to work with LLMs and agentic solutions effectively, including when to critically review their outputs. - Strong communicator and relationship builder with both, internal stakeholders and external managements and creators. You’re fluent in German and English. If you come from performance marketing, growth, affiliate or creator operations and have worked with creators, apply anyway. We'd like to hear from you. WHAT YOUR FIRST 90 DAYS LOOK LIKE - A creator pipeline where you can explain why each creator is on it. - Working relationships with the creators and managements you book. - Two structured experiments, with read-outs that say what failed as clearly as what worked. - One recurring task automated, with the hours it saves measured. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Gurugram,, Haryana, India N E O L Y T I X Associate – Learning & Development Human Resources · Reports To: TL – Learning & Development FUNCTION HR – L&D EXPERIENCE 1–3 Years LOCATION Gurgaon (Onsite) SHIFT UK (1:30–10:30) About the Role Neolytix is looking for an organized and proactive Associate to join our Learning & Development team at our Gurgaon (Udyog Vihar) office. This role owns the complete onboarding and induction experience for new joiners, drives internal policy communication, and supports employee engagement and development initiatives. The ideal candidate is a strong communicator with excellent written and spoken English, highly organized, and comfortable working UK-shift hours from the office. You’ll be the face new joiners meet first — so how well people settle in, and how clearly policy and communication land across the company, is yours to own. Key Responsibilities Onboarding & Induction Plan, coordinate, and conduct end-to-end onboarding for new hires, ensuring a smooth and welcoming joining experience. Design and deliver induction programs covering company culture, policies, tools, and role expectations. Coordinate with department heads/managers to align onboarding and induction content with teamspecific requirements. Act as the point of contact for new employees during their initial weeks — addressing queries and ensuring a smooth settling-in. Policy & Internal Communications Draft, update, and roll out HR policies — clear, compliant, and easily accessible to all employees. Prepare and share timely announcements and internal communications (policy updates, events, org changes). Maintain accurate documentation and records related to onboarding, induction, and policy acknowledgments. Training Needs & L&D Support Support the L&D team in organizing training sessions, workshops, and employee-development programs. Conduct Training Needs Analysis (TNA) and Training Needs Identification (TNI) across teams. Support Training Needs Evaluation (TNE) to measure training effectiveness and close skill gaps. Employee Experience & Reporting Collect feedback from new joiners and continuously improve the induction journey. Track onboarding metrics and prepare reports for HR leadership. Skills & Experience Must-Have 1–3 years of experience in HR, preferably in onboarding, induction, or L&D functions. Strong presentation and interpersonal skills; able to engage confidently with employees at all levels. MS Office proficiency (Word, PowerPoint, Excel) and comfort drafting policy/communication documents. Advanced Excel (pivot tables, VLOOKUP/XLOOKUP, dashboards) for tracking onboarding metrics and training reports. AI-friendly — comfortable using AI tools (e.g., ChatGPT/Copilot) to speed up content drafting, training material, and reporting. Highly organized and detail-oriented, able to manage multiple onboarding batches/tasks simultaneously. Preferred Exposure to or interest in TNA/TNE/TNI methodologies for identifying and evaluating training needs. Prior experience in a UK-shift, international, or BPO/ITES environment. Eligibility Criteria Education: Bachelor’s degree in Human Resources, Business Administration, or a related field is mandatory and must be completed — candidates currently pursuing or with an incomplete graduation are not eligible. Communication: Excellent verbal and written English is essential — this is a communication-, presentation-, and policy-drafting-heavy role. Work mode & shift: Onsite at Neolytix Office, Udyog Vihar, Gurgaon (work from office; no remote/hybrid). UK shift, 1:30 PM – 10:30 PM IST. Working days as per company policy. Notice period: Immediate joiners or candidates on short notice preferred. Performance Expectations You will be measured on clear, role-specific outcomes: New-joiner onboarding experience / satisfaction scores. On-time completion of induction batches and policy acknowledgments. Quality, clarity, and timeliness of policy and internal communications. TNA/TNI coverage and measurable training-effectiveness (TNE) outcomes. Why Join Neolytix Own the First Impression Own the full onboarding and induction journey — real ownership from day one. Broad HR Exposure Work across onboarding, policy, communications, and L&D — not one narrow slice. Visible to Leadership Your reports and improvements go straight to HR leadership. Modern, AI-Enabled HR Use AI tools to work faster on content, training material, and reporting.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function. You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart: 1. Multimodal and embodied data 2. Transformer-based models and how data impacts robot policies 3. Rigorous offline and real-world evaluation of policies 4. Deployment of models in the data ecosystem This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts. You will also build a small research and engineering team. Add people only when the work requires them. MANDATE Turn Humanoid data and technical access into measurable advances in Physical AI systems. You own the answers, and the evidence, to questions such as: - Which model families should we train, adapt, or evaluate? - Which data produces meaningful gains in robot performance? - What coverage, sensors, annotations, and quality controls do the models require? - Which offline measurements predict real-world robot performance? - Where should we adapt existing open models rather than train from scratch? - What should Humanoid build itself, and what should it reuse or obtain through partners?   WHAT YOU'LL DO - Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation. - Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code. - Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection. - Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision. - Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems. - Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount. - Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.   WHAT WE'RE LOOKING FOR - Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement. - Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation. - Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost. - Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is. - Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work. - Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems. - Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years. NICE-TO-HAVE: - Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems. - Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Turkey; South Korea; Dubai, UAE; Berlin, Germany; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Uzbek (Cyrillic) Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Uzbek (Cyrillic) What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Uzbek (Cyrillic) and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing learning, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global Job Reference: #LI-JC1

Ищем аналитика в команду Business Analytics. Он станет главным аналитиком по коммерческому B2B-направлению и будет работать в паре с коммерческой командой.

Location: Almaty, Kazakhstan Workplace: hybrid We’re looking for a Safety Governance Analyst to help make safety at inDrive measurable, consistent and auditable. You’ll map how safety processes really work across markets, test them through structured sampling and QA, and turn findings into clear standards, fixes and reporting. It’s a hands-on role for someone who is equally comfortable writing a SQL query, drawing a process map and drafting a procedure. Key Responsibilities Map end-to-end safety processes, including incident intake, case handling, escalations and driver/rider actions, using BPMN or Lean methods, and identify gaps, risks and inefficiencies Design and run QA and sampling reviews of safety cases and controls: define sample sizes, review criteria and scoring Log findings, agree remediation actions with process owners, and track them to closure Maintain the risk-acceptance register: log each entry, confirm the named acceptor and rationale, record sunset and review dates, and track entries falling due for review Build and maintain the safety governance report pack using AI/automation tools, independently and on a regular cadence Check safety data quality and flag inconsistencies in how incidents are classified and counted Run root-cause analysis on safety trends and recurring findings, and propose practical process improvements Skills, Knowledge & Expertise 3+ years in safety operations, trust & safety quality assurance or process excellence Practical knowledge of sampling and QA methodology, plus findings and remediation tracking Strong SQL skills and experience with a BI tool (Tableau, Data Studio / Looker Studio or similar); you can build a full report pack on your own Hands-on AI mastery with Claude: you can quickly build clear visualisations and storylines that explain complex safety risks in simple terms to any audience Experience with process notation (BPMN or other) Ability to write clear, structured standards and procedures A structured, detail-oriented approach and confidence presenting findings to stakeholders Strong interpersonal skills: you stay calm and attentive in difficult conversations, can deliver unwelcome QA findings to process owners, and persuade teams outside your authority to act on them Fluent English Strong plus: Experience in ride-hailing, mobility, delivery or another business with offline safety risks A certificate in data analytics Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Remote - EMEA Workplace: Remote About Us Constructor.io http://Constructor.io powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you've probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We're approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We're a passionate team of technologists who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.   ROLE OVERVIEW As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving.     KEY RESPONSIBILITIES TECHNICAL SALES & SOLUTION DESIGN - Lead technical discovery and solution design for prospective customers - Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) - Develop and support tailored Proof Schedules (lightweight POCs) - Deliver technical presentations to both business and technical stakeholders - Serve as primary technical advisor during evaluation cycles - Troubleshoot and triage APIs, SDKs, and integration patterns - Willingness to tinker and build demo prototypes and tooling - Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity - Support RFP and RFI responses CROSS-FUNCTIONAL COLLABORATION - Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy - Contribute insights to the roadmap and the go-to-market strategy - Support enablement and training for sales teams - Help refine documentation, processes, and best practices within the SE function MARKET & INDUSTRY ENGAGEMENT - Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape - Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements - Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams)     REQUIRED QUALIFICATIONS & SKILLS - 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles - Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools - Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling - Experience designing and running custom demos or pilots with clear, business-aligned success criteria - Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale - Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers - Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike - Ability to effectively articulate complex ideas to both technical and non-technical audiences - Ability to empathize with prospects’ challenges and goals - Skilled listener with innate curiosity - Passionate about innovative technology, technical sales, and articulating value to prospects - Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives - Professional proficiency in Italian, French,Spanish, German is a plus     PREFERRED QUALIFICATIONS - Experience in enterprise ecommerce or retail technology environments - Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends - Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic - Working knowledge of search and discovery concepts - Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires - Ability to build business value models that connect search improvements to revenue, conversion, or average order value - Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs - Multilingual: Professional proficiency in languages other than English     WHAT SUCCESS LOOKS LIKE - Prospects clearly understand technical integration paths - Proof Schedules (a lightweight PoC) align tightly with business outcomes - Technical objections are addressed proactively and effectively - Sales cycles are accelerated through a strong technical partnership - Product and Engineering receive actionable, structured market feedback - Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent     WORKING STYLE - Comfortable operating in a remote, distributed, and highly cross-functional environment - Able to manage multiple sales engagements and priorities simultaneously - A builder mindset that is proactive in creating structure in ambiguous environments - Highly collaborative with a strong sense of ownership and autonomy - Commercially aware and aligned with revenue and sales growth goals - Resourceful self-starter who can operate autonomously   You’ll Thrive Here If…   You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. Benefits   - A competitive compensation package including stock options - Fully remote team - choose where you live - Work from home stipend! We want you to have the resources you need to set up your home office - Apple laptops provided for new employees - Training and development budget for every employee, refreshed each year - Parental leave for qualified employees - Work with smart people who will help you grow and make a meaningful impact - Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Slovenia; Lithuania; Latvia; Colombia; Brazil; Argentina Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: New York, United States; Miami, United States; Dallas, United States; Charleston, United States; Charlotte, United States Crystalia Glass is seeking an experienced, analytical, and execution-focused Head of Sales (B2C) to spearhead sustainable revenue and conversion growth across our nationwide retail operations. We are looking for a growth-oriented builder rather than a maintainer — a commercial executive with a proven track record of diagnosing funnel bottlenecks, architecting high-converting sales systems, enforcing strict operational discipline, and scaling inbound, call-driven consumer sales. The ideal candidate brings deep commercial leadership experience in the national consumer market, specifically within consultative, custom-made physical products with an average order value of $6K+. Responsibilities: Revenue Growth & Funnel Optimization: Develop and execute the overall B2C growth strategy. Rigorously analyze sales data to identify root causes of lost revenue, prioritize growth levers, drive stage-by-stage conversion gains, accelerate speed-to-lead and quote turnaround, and eliminate avoidable lost deals. Leadership Through Managers: Lead, mentor, and hold accountable B2C Sales Team Leads. Establish their operating cadence, review cycles, and QA standards; empower each Team Lead to drive daily execution, rep coaching, and performance management. Commercial Engine & Process Architecture: Design and refine end-to-end B2C customer engagement standards, multi-touch follow-up cadences (phone, SMS, email), discounting discipline, margin preservation, and seamless order handoffs to production. AI Integration & Conversation Intelligence: Actively embed modern AI workflows into daily sales operations. Leverage conversational AI, automated speech transcription, and LLMs (ChatGPT, Claude, specialized speech QA) to run 100% call QA, surface recurring objection patterns, diagnose lost-deal root causes, and equip Team Leads with automated coaching insights for their reps. Operational Excellence & CRM Governance: Establish and enforce strict CRM architecture and hygiene (HubSpot, Salesforce, or equivalent). Oversee pipeline stages, automated task flows, omnichannel sequences, and SLA tracking; build BI dashboards that turn pipeline data into prioritized operational actions with clear owners and deadlines. Sales Enablement & Training: Develop deep expertise in our architectural glass systems, configurations, and pricing logic. Partner with the Training Department to create practical objection-handling playbooks, scripts, and targeted coaching modules based on real call transcript data. Cross-Functional Collaboration: Partner with Marketing on lead volume, CAC, lead scoring, and segment quality, while expanding complementary demand channels (referrals, repeat clients, trade/design partnerships). Align with Estimating and Production to ensure quote accuracy and reliable turnaround times. Executive Cadence & Strategic Alignment: Own full operational accountability for the B2C sales function. Deliver transparent reporting and forecasting to the CEO on conversion, margins, and revenue performance, serving as the trusted leader of the retail commercial engine. Requirements Experience: 10+ years of total sales experience, with 5+ years in sales leadership. 3+ years as head of a B2C sales function directly managing Team Leads or sales managers who ran their own front-line teams. Demonstrated track record leading a B2C business generating $30M+ in annual revenue. Market & Product Background: Proven leadership in the national market selling physical, consultative, custom-made products requiring discovery, quoting, and production (e.g., architectural glass, windows & doors, custom closets, cabinetry, kitchens, remodeling, flooring, or interior finishes; installation experience is not required). Sales Model: Expert in high-volume, inbound, call-based B2C sales environments where conversion hinges on rapid lead response, quote turnaround, and structured follow-up cadences. Proven builder profile: documented success in building or substantially redesigning a sales engine from scratch, demonstrating verified conversion and revenue expansion rather than simply maintaining existing workflows. Experience designing and managing performance-driven commission plans for B2C sales teams. Analytical Discipline: Rigorous data-driven mindset capable of isolating funnel drop-offs, separating lead quality issues from sales execution flaws, and verifying ROI on operational changes. CRM & AI Fluency: Advanced proficiency in CRM pipeline design, automation, SLA tracking, and BI dashboards. Daily, practical adoption of modern AI tools (ChatGPT, Claude, Gemini, Perplexity) applied to call QA, lost-deal reviews, and team performance diagnostics. Leadership & Communication: Exceptional communication and interpersonal skills, with a direct, transparent management style and a track record of making decisive, data-backed talent and performance decisions. Skills & Attributes:Education / Plus: Business or Marketing degree is a plus; prior experience in a combined Sales & Marketing leadership role is an asset. Benefits Competitive base salary + performance-based bonuses. On-site role, Monday to Friday, 8:30 AM – 5:00 PM. Complete ownership of the sales strategy and a chance to lead business expansion in a fast-growing U.S. company. Opportunity to make a tangible, high-impact contribution to the business.

Location: San Francisco; Seattle; New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. ABOUT THE ROLE We're hiring a growth marketer with a hacker brain to own the systems that make our growth engine run... lifecycle, marketing ops, and the data and automation underneath both. If you're the person who looks at a list of signups and immediately wonders what you could learn by enriching it, splitting it five ways, and testing a different nurture on each... we'd love to meet you. You'll build the segments, lists and audiences everything else depends on, hack and build growth agents, run Clay like a product you own, and use data to push our lifecycle programs 10x further than they are today. This isn't a role where you wait for a ticket. You'll spot the next enrichment worth testing, propose the workflow that saves the team ten hours a week, and ship it. Some folks call this kind of work go-to-market engineering. We think of it as lifecycle marketing with real technical chops. WHAT YOU'LL OWN Lifecycle marketing, the backbone - Become the team's expert on our audiences, and build the segments, lists and audiences that every email, campaign, webinar and nurture runs on - Design lifecycle programs across signup, activation, re-engagement and expansion, and test them relentlessly with real data - Use product usage and conversion patterns to decide who gets what message, when, and on which channel - Report honestly on what moved the number and what didn't... including your own tests Growth agents and Clay - Own Clay end to end. You're the person who pushes it forward, not someone who has access to it - Test new enrichments, scoring and signals, keep what works and kill what doesn't - Build growth agents and automated workflows that let a three-person team move like a much bigger one - Feed better audiences to Google, Meta, LinkedIn and email, in partnership with the performance marketer Marketing ops - Configure webinars and forms, and run the ops side of events: registration flows, segmentation, follow-up and handoff to sales - Keep our tools, data and routing clean so the team trusts what they see - Proactively propose improvements to how we work. If something's slow, manual or broken, we expect you to say so and fix it WHAT PEOPLE SHOULD BE SAYING IF YOU'RE DOING DUCKING AWESOME - "I didn't ask for that segment, but it's exactly what I needed for the campaign." - "Every audience I get from them converts better than the last one." - "The leads from the webinar showed up enriched, routed and ready to go. I didn't have to dig for anything." - "Wait, marketing built that agent? Can we borrow it?" - "Clay does things now nobody thought it could, and our lifecycle emails actually get replies." WHAT WE'RE LOOKING FOR - You want to hack and build growth agents. This is the heart of the role. You've used Claude Code, agents or similar tooling to automate real growth work, and you're itching to build more - A passion for understanding user groups. You want to be the expert on our audiences... who they are, how they behave, and how to segment them so every email and nurture lands with the right people - A systems brain. You see marketing as a set of inputs, workflows and feedback loops, and you love making them run better - Lifecycle experience with numbers attached. You've owned segments, nurtures or re-engagement programs and can tell us what they did to activation, pipeline or revenue - Proactive by default. You find the next test, enrichment or fix before anyone asks - High-growth company background, ideally somewhere with a technical or developer audience - Honest about results. You'll call out a losing test, including your own, as quickly as a winner - Clay experience, ideally a workflow you built and can walk us through - HubSpot experience at the workflow and data level - Comfortable pulling and analyzing your own data, SQL included - Webinar or event ops experience tied to pipeline - Familiarity with data practitioners or developers as an audience OUR INTERVIEW PROCESS We like to keep things transparent, so here's what to expect if you apply... 1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit 2. A conversation with our Growth lead to learn about the systems you've built, how you think about audiences and segments, and what excites you about growth agents 3. A deeper conversation with our Growth team covering lifecycle strategy, how you'd test and measure a program, and a walkthrough of a workflow or agent you've built 4. A final conversation with our CEO focused on values and vision PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Lunar is looking for a Senior Product Manager to shape and deliver real-time fraud and risk detection products.

Location: Budapest, Hungary About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it easy to discover and get the best of your city delivered to your door. Founded in Helsinki in 2014 and now part of DoorDash, we operate in 30+ countries, connecting customers with local restaurants, grocery stores and retailers through our app and delivering it all through courier partners. Three groups make that marketplace work: the customers who order, the courier partners who deliver, and the merchants who sell. This role sits on the merchant side. Merchant Operations owns the support experience for our restaurant, grocery and retail partners, covering everything from onboarding and menu management to the day-to-day operational issues that come up while they're trading. That support is delivered through a combination of internal Wolt Operations teams and external BPO partners. What you’ll be doing As part of our Merchant Operations team, the Content, Training & Quality (CTQ) Manager plays a key role in making sure that the people who support our merchant partners know exactly how to do the work, and do it consistently. This is a global role: your audience is both our external BPO agents and our internal Operations team across 30+ Wolt countries. Day-to-day in this role you’ll: Content Ownership: Build and maintain the process documentation, SOPs, and knowledge-base articles behind Merchant Operations workflows. Consolidate what exists today into one coherent, findable, and trustworthy source, and keep it current as processes change. Training Design & Delivery: Organise, facilitate, design and/or deliver onboarding and upskilling programmes for internal operations teams and external BPO agents — live sessions, workshops, and self-serve modules in Cornerstone. You'll apply sound instructional design: define what someone needs to be able to do, build the shortest path to getting them there, and measure whether it worked. Stakeholder Management: Work across operations team leaders and process owners to understand how each process actually runs, align on what "correct" looks like, and drive adoption of new or updated ways of working. You will influence without direct authority, which makes this a core part of the role rather than an add-on. Build the Quality Framework : Establish our quality assurance approach from the ground up, together with the Operations team — defining what gets checked, how it's scored, and how often. Then close the loop by translating what the checks surface into the next round of content and training improvements. Continuous Improvement & Scale: Proactively identify where unclear process, content, or training is driving errors, rework, or long handling times, and close those gaps before they become escalations – staying close enough to the work, through quality reviews, agent feedback and performance data. You’ll design CTQ for reuse and consitency across 30+ countries and multiple delivery partners rather than rebuilding market by market, while leaving room for genuine local differences. Our humble expectations: Experience : 3–5 years in operations, learning & development, process enablement, or customer support — preferably in a marketplace, e-commerce, delivery, or other fast-paced operational environment. We're open on background: what matters is that you've built content and training for people doing repeatable operational work. Content & Training: Demonstrated experience creating operational content (SOPs, process documentation, knowledge-base articles) and designing and delivering training to distributed, multicultural teams. Formal instructional design or adult learning knowledge is a strong plus. Analytical Mindset: Comfort working with quality and performance data to spot where processes are breaking down and prioritise what to fix first. Ownership: Ability to work independently in an ambiguous environment, set your own starting point, and drive changes through to adoption without close direction. Mess doesn't paralyse you — you sequence a clean-up, make concrete decisions on the best available data, and get on with it. Teaching Instinct: You're a natural simplifier who'd rather write three clear pages than fifteen thorough ones, and you adapt how you teach to the audience in front of you — including stakeholders more senior than you. You build trust quickly with operational teams and can get busy people to give you what you need. Bonus points Experience with BPO or outsourced operations teams, or setting up a quality assurance framework from scratch. What we offer A blank page, not a maintenance job. A global quality assurance framework doesn't exist yet — you'll build it from the ground up with the Operations team, and consolidate scattered documentation into something people actually trust and use. Genuine global scope at IC level. Your work reaches internal Operations teams and external delivery partners across 30+ countries, with exposure to the wider DoorDash network. Measurable impact. This isn't content that disappears into a wiki — you'll see handling times, error rates, and agent confidence move as a direct result of what you build. Real autonomy. You set the roadmap and decide where to start. No one looking over your shoulder. Career growth in a fast-moving sector. A dynamic environment at the centre of delivery and e-commerce, with room to grow as the function you're building matures. Salary package and benefits , plus discounts on Wolt orders. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Australia About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: Site Selection & Market Analysis Lead the end-to-end site selection process for new data center facilities. Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. Technical & Environmental Due Diligence Coordinate environmental, geotechnical, hydrological, and seismic assessments. Assess infrastructure availability (power, water, fiber) and future scalability. Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. Colocation Strategy & Vendor Management Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. Cross-Functional Collaboration Work with data center design and construction teams to validate site feasibility and development timelines. Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. Coordinate with public authorities, utilities, and permitting agencies as needed. Risk Assessment & Compliance Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. Ensure compliance with local regulations, zoning laws, and corporate standards. Maintain documentation for audits, reporting, and internal approvals. We expect you to have: Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. Strong understanding of data center power, cooling, and network requirements. Experience in evaluating colocation providers and negotiating leases/SLAs. Analytical skills in market research, cost modeling, and risk assessment. Ability to manage multiple simultaneous projects across regions. Excellent communication, negotiation, and stakeholder management skills. It will be an added bonus if you have: Experience with hyperscale or large-scale data center development. Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. Understanding of permitting processes and environmental regulations. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product or research area at significant scale Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company's mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management Experience building or scaling a data science team in a fast-growing organization Experience working closely with Product or Research teams, especially on LLM or AI products Comfort working with unstructured data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Москва Workplace: Гибридный О компании МТС — это цифровая экосистема. Мы создаём и развиваем сервисы в сфере мобильной связи, больших данных, искусственного интеллекта, облачного хранения, медиа и финансов — все они делают жизнь людей проще и интереснее. Обязанности Разрабатывать и актуализировать дорожную карту автоматизации RAN-домена: оценить текущей уровень зрелости по методологии TM Forum ANLET, определить целевые уровни L3–L4 для процессов планирования, оптимизации и развития RAN; Формировать каталог сценариев автоматизации (High-Value Scenarios, HVS): выявлять приоритетные use-cases с максимальным ROI — self-planning, self-optimizing, self-healing, energy saving, capacity management; Внедрять AI/ML-моделей для автоматизации RAN: прогнозировать трафик и качество, автоматическую тюнинг-оптимизацию параметров, детекция аномалий, root-cause analysis, drive-test automation и т.д.; Проектировать и внедрять closed-loop сценариев (intent-based automation) на стыке OSS, EMS/NMS и RAN-инструментов автоматизации; согласовывать архитектуры с TM Forum ANLET-фреймворком; Заниматься постановкой требований к данным RAN для платформы AN: интеграция источников (Common MR/MDT MR, PM/FM-счётчики, конфигурационные данные, geolocated метрики) с DataLake МТС и MWS; Внедрять метрики и KPI автономности (Autonomy Score, MTTR, share of automated changes, energy savings) в соответствии с TM Forum IG1218K; Сопровождать пилотные проекты автоматизации: подготовить техническое задание, приёмочное испытание, оценка бизнес-эффекта, тиражирование успешных сценариев на всю сеть; Взаимодействовать с вендорами поставщиками основного оборудования, ПАК и научно-исследовательскими партнёрами в части разработки и апробации новых алгоритмов автоматизации; Формировать требования к компетенциям RAN-инженеров и готовить программы переобучения в рамках перехода от manual-режима к supervised/autonomous операциям. Требования Высшее техническое образование (телекоммуникации, радиотехника, информационные технологии, прикладная математика); Опыт работы в области радиосетей 4G LTE / 5G NR не менее 7 лет, из них не менее 3 лет — на позициях, связанных с автоматизацией, SON или RAN-оптимизацией; Глубокое знание архитектуры RAN: eNodeB/gNB, протокольные стеки L1/L2/L3, интерфейсы S1, X2, Xn, F1, E1, O1/O2 (O-RAN); Практический опыт работы с SON-решениями. Настройка и оптимизация алгоритмов ANR, MLB, MRO, PCI, load balancing, coverage/capacity optimization; Опыт работы с инструментами планирования радиосетей: Atoll Forsk, Aircom Asset / Actix / Mentum Planet / TEMS Planet; Владение английским языком: деловая переписка, разговорный. Понимание методологии TM Forum Autonomous Networks (ANLET, IG1230, IG1218K): уровни автономности L0–L5, framework оценки зрелости, closed-loop процессы, intent-based operations; Будет плюсом опыт внедрения AI/ML-моделей в задачи RAN: прогнозирование, кластеризация, детекция аномалий, понимание жизненного цикла ML (MLOps); Будет плюсом опыт работы с большими объёмами данных: SQL, Python (уверенный уровень), Pandas/NumPy, Spark; BI-инструменты (Tableau/Power BI, Superset); Понимание методологии 3GPP TS 32.450 / TS 32.401 / TS 28.554 в части KPI/KQI RAN-сети. Условия программа ДМС с первого месяца работы - это 100% покрытие расходов в частных клиниках, включая стоматологию. Застраховать близких родственников можно со скидкой 50%. Для любителей путешествий - страховка в поездках за границу. А еще есть страхование жизни; очное и онлайн-обучение в Корпоративном университете, у внешних провайдеров, если это полезно для работы, обмен опытом во внутренних профессиональных сообществах, а также доступ к онлайн-библиотеке в полезными книгами и периодикой; оплачиваемые выходные на значимые события в жизни сотрудника; материальная помощь в сложных жизненных ситуациях; корпоративная мобильная связь + интернет, а так же единая подписка МТС Premium (онлайн кинотеатр KION, сервис МТС Music, МТС Строки и т.д.); предложения от партнёров для путешествий, развлечений и занятий спортом; возможность участия в волонтерских программах: мы организуем благотворительные ярмарки, образовательные проекты для детей, конкурсы социальных проектов и экологические проекты; внутренняя спортивная программа «В движении»: забеги, марафоны, турниры по разным видам спорта, медитации и занятия на баланс.

Location: Москва В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них ошибки и каких примеров модели не хватает. Сейчас нам нужен Data Analyst / Data Engineer в Data Conveyor Team, который будет находить проблемы в данных, оценивать их качество и проверять через обучение моделей, как состав датасета влияет на результат. Это роль на стыке анализа данных, инженерии данных и практических ML-экспериментов: нужно не только строить проверки качества, но и запускать обучение или дообучение моделей на разных версиях данных, сравнивать метрики и превращать выводы в конкретные решения по сбору, разметке, фильтрации и выборке. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * строить автоматические и полуавтоматические пайплайны проверки качества данных, чтобы находить технические и смысловые дефекты до попадания данных в обучение * запускать или сопровождать обучение и дообучение моделей на разных версиях датасетов, чтобы измерять влияние качества, состава и фильтрации данных на метрики модели * разрабатывать метрики качества данных и использовать их как диагностический сигнал до тех пор, пока не доказана связь с успешностью модели на роботе и в тестовых сценариях * формировать фильтры, уровни качества и стратегии выборки по качеству, разнообразию, задачам, объектам, окружениям, роботам, источникам и типам ошибок * проводить сравнительные эксперименты с составом данных, чтобы проверять, какие данные действительно помогают модели, а какие можно исключить или отправить на доработку * анализировать ошибки модели и переводить их в конкретные запросы на данные: что дособирать, что переразметить, что удалить, что добавить в выборку * готовить теги задач, объектов, окружений и ошибок, эталонные наборы примеров, правила контроля качества разметки и критерии приемки * исследовать, как изменения камер, конфигурации робота, калибровки или других сенсоров влияют на качество данных и результат модели * готовить краткие технические отчеты: гипотеза, данные, метрики, ограничения, выводы, рекомендуемые изменения для релиза датасета или плана сбора данных. Требования * 3+ года опыта в data analysis, data engineering, ML engineering, applied ML или близкой области * уверенный Python: pandas/polars, numpy, visualization, notebooks, batch data processing * SQL и опыт работы с большими датасетами, manifests, metadata, dashboards или analytics pipelines * понимание экспериментального дизайна: ablations, контрольные группы, statistical reliability, интерпретация метрик * базовое понимание ML training / eval loop и связи состава данных с метриками модели * умение анализировать мультимодальные данные: видео, временные ряды, actions, task metadata, labels * способность переводить наблюдения из данных и ошибок модели в actionable recommendations * хорошая письменная коммуникация для отчетов, журналов решений и постановки задач смежным командам. Будет плюсом: * опыт с robot learning, VLA, imitation learning, RL, CV/VLM datasets или embodied AI * опыт с W&B, MLflow, Hydra, experiment tracking, dataset lineage * опыт с annotation QA, active learning, data curation, anomaly detection или quality scoring * понимание domain shift, camera shift, embodiment gap, task transfer и data-centric AI * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Автозаводская 23а к2 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * 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 Сбера.