Требуется frontend-разработчик для создания административной панели управления пользователями и заказами. Требуется реализовать интерфейс и интеграцию с API.
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Требуется frontend-разработчик для создания административной панели управления пользователями и заказами. Требуется реализовать интерфейс и интеграцию с API.
- Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов; - Анализировать и оценивать требования к программному обеспечению на полноту и покрытие функциональности;
Mistral is looking for an Engineering Team Lead Serverless Containers to lead the team building and operating the serverless container platform.
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Настроить подборСоставлять сценарии тестирования и чек-листы по проверкам. Проводить ручное, автоматизированное, нагрузочное тестирование приложений.
разрабатывать и развивать frontend-часть веб-приложений с использованием JavaScript, React, Redux. участвовать в проектировании архитектуры frontend-решений, выборе технических подходов и оптимизации существующего кода.
Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems Design and run detective controls that catch billing errors before they reach the accounting books Partner with billing engineering teams to turn repeat checks into automated verifiers Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch Experience running these systems under public company reporting requirements, and scaling them as the company grew Experience with usage-based or consumption billing Experience with multi-party billing, such as marketplaces, or app stores Experience turning manual checks into automated verifiers with engineering teams Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials Python for data analysis or automation 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: $345,000 — $425,000 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: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Colombia; Argentina; Brazil On behalf of WorkforceTech Client #1 , SD Solutions is looking for a talented Professional Services Manager (combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support. You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in. Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles Build and set up schedules, rules, forms, templates, and policies Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems) Assist customers with data transitions (e.g., importing schedules from Excel) Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early Advise customers on best practices to ensure successful adoption Clearly document everything configured and any remaining action items Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups Ensure the customer’s account is fully ready for daily operations immediately after onboarding Requirements: 1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required) Strong technical aptitude and exceptional attention to detail Native or near-native English level with excellent presentation and communication skills Confidence working directly with customers (often non-technical frontline managers) Ability to break down complex requirements into clear, actionable steps Highly organized, consistent, and reliable Fast learner, very tech-savvy, quick to master new tools and systems Comfortable working US hours (CST/EST time zone) – required for live calls Previous experience with SaaS configuration, operations, or back-office support – big plus Shared Tools & Stack: Connecteam platform (web + mobile, online/offline capabilities) Excel/CSV for data uploads Task & project management: Monday.com, Trello, etc. CRM: HubSpot (familiarity) Video conferencing: Zoom / Google Meet Documentation: Notion, Google Docs AI tools are encouraged and welcomed to boost efficiency About the company: A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Remote Workplace: Remote We are looking for an experienced Senior Game Mathematician to take a leading role in developing mathematical models for an in-house slot game portfolio. The position combines advanced game mathematics, statistical modelling, and simulation with the opportunity to influence the technical foundations of math development. Beyond creating and balancing game mechanics, you will contribute to the evolution of internal simulation tools and mathematical frameworks, working closely with game designers, producers, and engineers. Responsibilities - Take full ownership of slot game mathematics, developing models from initial game concepts through balancing, testing, and regulatory certification - Create and fine-tune mathematical configurations for different slot formats, including reel-based, ways/Megaways, cluster pays, grid games, jackpots, and feature buy mechanics - Define and optimize key game parameters such as RTP, volatility, hit frequency, maximum win, payout distribution, and bonus contribution, ensuring alignment with gameplay and product objectives - Develop and adjust reel strips, paytables, symbol distributions, free spins, multipliers, cascades, bonus features, and progressive mechanics, including multiple RTP configurations and ante bet options - Perform large-scale Monte Carlo simulations, validate theoretical and simulated RTP, and evaluate statistical reliability through variance analysis, confidence intervals, and convergence testing - Prepare mathematical documentation, including PAR sheets, RTP calculations, and supporting materials required for independent testing and certification - Contribute to the design and continuous improvement of an internal math development and simulation framework, participating in architectural discussions, technical reviews, and implementation - Evaluate live game performance data, identify potential improvements, and provide mathematical recommendations for existing and upcoming releases - Partner with producers, game designers, and developers to assess new mechanics, balance gameplay experience, and address mathematical or technical risks - Help establish consistent math development standards, share technical knowledge, and support the professional growth of other mathematicians Requirements - 5+ years of professional experience in slot game mathematics within a game provider or development studio, rather than an operator - Track record of at least 10 commercially released slot titles, preferably including games with demonstrated market success - Extensive knowledge of probability, combinatorics, and statistical modelling, with the ability to apply these principles to complex slot mechanics - Proven ability to build complete mathematical models around defined targets, including RTP, volatility, hit rate, maximum exposure, payout distribution, and feature contribution - Practical expertise in balancing different slot formats and mechanics, including Megaways, cluster pays, grid slots, bonus buys, jackpots, free spins, multipliers, and cascading features - Strong understanding of reel and paytable configuration, bonus buy and ante bet mathematics, and multiple RTP variants, with the ability to balance feature frequency, payout sizes, and overall player experience - Advanced experience in mathematical validation and high-volume simulations, including analytical RTP verification, Monte Carlo methods involving billions of spins, variance analysis, confidence intervals, and convergence assessment - Familiarity with gaming certification standards and testing procedures, including requirements associated with GLI, BMM, eCOGRA, iTech Labs, and preparation of mathematical reports and PAR sheets - Ability to independently manage mathematical development throughout the complete game lifecycle, from initial design to final certification - Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related discipline, preferably at Master's level or above - Previous involvement in building or improving proprietary slot math engines or simulation frameworks - Knowledge of mathematical optimization techniques, including genetic algorithms, simulated annealing, and linear programming, for automated adjustment of reels and paytables - Experience designing mathematical models for crash games, instant-win products, or other alternative gaming formats - Understanding of the interaction between mathematical models, game clients, and backend systems - Fluent English for technical documentation, collaboration with international stakeholders, and communication with testing laboratories or regulators - Strong communication skills, with the ability to translate complex mathematical concepts into practical explanations for non-mathematical colleagues - Willingness and ability to mentor junior and mid-level mathematicians and contribute to knowledge sharing within the team Would be a plus - Proficiency in at least one programming language: Python, C++, C#, Rust, Java, or Go - Experience developing high-performance simulation software, including multithreading, performance optimization, and large-scale data processing - Familiarity with Git, automated testing, and code review practices, as well as software architecture principles such as modularity, well-defined interfaces, and deterministic simulation results - Contributions to industry research, professional publications, conferences such as ICE, SiGMA, or G2E, or relevant technical communities What's in it for you - Opportunity to contribute to the development of innovative iGaming products and influence key technical decisions - Work on challenging projects involving advanced game mathematics and simulation technologies - Opportunities for professional development and career growth - Collaboration with experienced professionals in a supportive, knowledge-sharing environment
Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Traditional PR is fading — we go directly to our audience. This role brings together what used to be two separate seats, communications and social media, into one mid-to-senior, hands-on role: owning Supabase's voice in the channels where developers actually pay attention, and building our founders' presence in them. "New media" here means modern and direct, not traditional press — we care far more about getting our founders onto the right podcasts and YouTube channels than landing a New York Times placement. It's part comms, part social operator, with a sharper edge than a typical polite PR hire: someone willing to put an opinion out there and push a little rather than always play it safe. But it's not just a social media job either — this person also needs the poise and technical credibility to lead comms through genuinely high-stakes moments, like a major incident, where reporters, investors, and customers all need a calm, credible, technically fluent voice at the same time. WHAT YOU’LL BE RESPONSIBLE FOR - Make sure we're part of the current conversation and are going directly to our audience — new media over old-world press - Own and execute our new media strategy - Run and grow Supabase's X + LinkedIn accounts, hands on keyboard - Help build the accounts of our founders and team — including ghostwriting in their voice - Explore and exploit unconventional channels and formats - Book our cofounders on the most known shows, podcasts, and YouTube channels in our space - Work directly with DevRel and the PMM team on launches and Select - Manage comms around incidents, funding, and other high-stakes moments — crisis comms handled with poise and technical credibility (this is key) YOU MIGHT BE A GOOD FIT IF YOU - Are an excellent writer with a distinctive voice — equally strong posting as yourself and ghostwriting for others - Have a track record of growing accounts, ideally for a technical audience - Unconventional thinker — willing to put an opinion out there and push a little, with the judgment to know when - Seasoned enough for the serious moments — incidents, funding, press — calm, credible, and technically fluent - High agency — you're probably already doing a version of this somewhere scrappier WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Builders now ask ChatGPT & Claude before they ask Google, and the answer decides which products make the shortlist. When someone asks about a backend as a service or a database, Supabase should be in that answer: named, cited, and recommended. You’ll own that channel and will be responsible with driving signups and revenue. You set the strategy and execute the work with content, growth product, and engineering. WHAT YOU’LL DO: - Own the GEO/AEO strategy: decide which prompts matter, set targets, and sequence the roadmap - Build measurement for a channel with messy attribution - Run experiments to learn what actually moves citations, then turn the results into a playbook - Work with the content team to decide the human and LLM content roadmap. - Win citations from the ones used the most in pre training: Reddit, YouTube, review sites, listicles, publications, and communities - Make the site readable for agents. Ship these changes with web and engineering - Track where competitors get named and we don’t, and close those gaps - Keep SEO fundamentals compounding, since they still feed AI retrieval - Teach the rest of the company how to write and structure content so it gets cited, and share what you learn with PMM, product, and leadership - Stay ahead of the market YOU MIGHT BE A GOOD FIT IF YOU - 4+ years in SEO, organic growth, or content-led acquisition at a developer tool company - 1+ year of hands-on GEO/AEO work. - A track record you can show: citations you won, AI referral traffic you grew, share of voice you moved, and how you measured it and connected it to revenue - Technically fluent: crawling, indexing, structured data, site architecture, and log analysis. Comfortable getting changes shipped with engineers WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development. As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge. What you'll do You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms. You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains Use AI tools as a regular part of how you design, build and review software Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter Take full ownership of your work, from design through build, deployment, operations and iteration Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings Care about building robust, scalable systems that other engineers and businesses love to use Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Identity, access control or authorization systems at scale Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors Regulated or compliance-sensitive environments, including handling sensitive personal data Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Компания «Сбер» ищет middle QA инженера для работы в продукте «СберИнкассация», который создает и внедряет digital-решения для управления инкассаторскими услугами. Задачи: — Ревью системных требований — Тестирование UI/UX форм — Тестирование backend сервисов — Тестирование REST API — Проверка бизнес-логики банковских процессов — Тестирование интеграций между сервисами — Анализ сетевых запросов и логов — Проверка корректности данных в базе — Локализация дефектов на разных уровнях системы — Подготовка и актуализация тестовой документации — Участие в регрессионном тестировании — Проведение end-to-end тестирования системы Требования: — Опыт ручного тестирования от 3 лет — Опыт тестирования web-приложений — Опыт тестирования backend сервисов и API — Тестирование UI веб-приложений (React / JavaScript) — Тестирование REST API — Тестирование Kafka интеграций — Работа с Insomnia — Работа с DevTools и HAR анализом — Работа с SQL (PostgreSQL) — Работа со сниферами Fiddler/Charles Proxy — Анализ логов сервисов — Работа с OpenShift / Kubernetes — Работа с JSON Будет плюсом: — Понимание Java backend сервисов — Опыт тестирования микросервисной архитектуры — Опыт написания автотестов (Java) — Использование ИИ инструментов в работе Условия: — Комфортный современный офис рядом с м. Кутузовская — Офисный формат работы — Ежегодный пересмотр зарплаты и годовая премия — Корпоративный спортзал и зоны отдыха — Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — 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 — Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.
Ожидания Опыт работы в QA: от 4 лет; Опыт автоматизации тестирования на C#: от 1 года минимум;
Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are looking for an Intermediate Developer to join the Device Trust team and help us improve the reliability and operational excellence of the systems behind the Device Trust authentication service. This is a software engineering role with a strong reliability focus. You will write and maintain production code, improve how our services are operated, and help make a critical applications path safer, more observable, and easier to evolve. Device Trust authentication is an important component of our customers’ authentication flows, helping organizations make device posture part of their access decisions. Because it sits directly in that path, reliability is a first-class engineering concern. The service is already relied upon by customers every day, and in this role you’ll help us continue raising the bar through stronger resilience, observability, operational practices, and safe evolution of the system. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2+ years of experience in software development. - Experience working with backend services, application programming interfaces (APIs), distributed systems, or other software where reliability and availability matter. - Take ownership of scoped problems from investigation through implementation and follow-up. - Familiarity with Ruby on Rails (Rails). - Use observability tools to understand system health and investigate issues; experience with Datadog is valuable. - Care about testing, maintainability, and clarity in both code and documentation. - Communicate clearly by sharing progress, raising blockers early, and helping stakeholders understand outcomes. Bonus points for: - Familiarity with or exposure to Kubernetes. - Experience with Datadog. - Experience with Terraform. What you can expect: - Build and improve the services that power Device Trust. - Improve the reliability, observability, and operability of production systems through software, automation, and thoughtful engineering practices. - Work across application code, service dependencies, cloud infrastructure, networking, deployment systems, and operational tooling. - Help establish safer ways to make and validate changes to critical systems. - Participate in incident response and post-incident learning, turning operational lessons into lasting improvements. - Partner with engineers across Device Trust, Platform, Security, and other teams to identify risks, reduce operational friction, and improve the customer experience. USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Ensuring Authenticity for Billions of Daily Rewards Industry reports suggest 25 percent of global mobile ad spend is lost to fraudulent activities like click farms, fake installs, SDK spoofing, and emulator farms. At adjoe, we define our platform through trust and proactive engineering. We build high-performance defenses that guarantee accurate reward attribution, ensuring every interaction is authentic. This creates a sustainable value exchange that empowers our partners to grow with confidence. The Anti-Fraud team develops systems that detect and prevent malicious activity at scale. Our custom Android and iOS SDKs analyze device integrity for modifications like Xposed frameworks, Magisk modules, and jailbroken devices. Supporting these, Go microservices and DynamoDB deliver millisecond-level responses, while Kafka and SQS process billions of daily events in real time. This infrastructure protects publisher margins and ensures a trustworthy platform for all users. YOUR MISSION & WHO WE ARE LOOKING FOR: - AdTech Domain & Anti-Fraud Core Requirement You bring a solid foundation in the AdTech ecosystem (publishers, advertisers, SDK attribution, monetization) and direct exposure to cheating in mobile games. Joining our Anti-Fraud Operations unit, you will act as the primary technical PoC for Support, Sales, and BI teams, owning complex fraud escalations and translating business edge cases into technical fixes. - Investigative Mindset & Root-Cause Analysis You possess eagle-eyed curiosity and an investigative, hacker mindset. When publisher margins drop, external platforms (iOS/Android) shift, or campaigns misbehave, you won't wait for step-by-step instructions—you will connect messy clues, reproduce exploit scenarios, and trace non-obvious fraud patterns to their source. - AI-Empowered Big Data Interrogation You will leverage AI tools alongside Trino SQL, ScyllaDB, and DynamoDB to rapidly query and analyze billions of daily telemetry events. You will direct AI to accelerate complex data analyses, build models, and surface bad actors in real time without getting bogged down in manual query assembly. - Observability, Profiling & Microservice Debugging You will monitor platform health and debug system anomalies using Kibana, Grafana, and Go profiling tools like Pyroscope and pprof. You will trace real-time pipeline bottlenecks and API glitches across Kafka, SQS, and Go microservices to catch bugs or platform misconfigurations. - Cross-Functional Fraud Mitigation & Pragmatic Engineering You bring a functional software development background in backend engineering (preferably Go) alongside experience with AWS cloud infrastructure, allowing you to comfortably navigate backend code logic. Collaborating with Backend, Mobile, and Data Science teams, you will use AI to draft clean code fixes, propose new detection rules, and take full responsibility for deploying verified mitigations that protect publisher margins. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.
Location: Paris; Helsinki Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide. Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation. Within Helix, you'll join the RTB team, the group that owns the bidder and the services behind it that help it take the optimal bidding decision. Bidder, pricing, models and data are all built in-house, so nothing is out of reach when you want to change how a bid gets made. You will work with expert backend and machine-learning engineers in real-time bidding, on a system that prices ad requests across mobile gaming in real time, at a scale few teams get to work at. ROLE We’re looking for a Senior Product Manager - Real Time Bidding to join our Engineering & Data team. In this role, you’ll drive product decisions across the full bidding pipeline. You'll own projects end-to-end: roadmap, trade-offs, shipping, and cross-team contract. You will also: - Own the roadmap of the bidding pipeline. How we target, price, pace and cap, and what goes live in the bid path and when. - Own the delivery. Adapt to changes, set clear priorities, communicate effectively - Own experimentation as a product. Other teams test ideas on the bidder through the framework we build. You make sure they can run the experiments they need, trust the results, and get an answer fast. - Keep the pieces fitting together. You spot a change in one team that will break another before it reaches production. - Contribute to the product strategy beyond your scope. PROFILE (MUST HAVE) - Experience in programmatic advertising. You have worked on pricing, bidding or auction logic on a DSP, bidder or exchange, you know the pipeline from bid request to win, and you can explain the business impact of your work. - Analytical mindset. You back decisions with data and understand the statistical basis of pricing and experimentation. - You own outcomes across teams. When a change in one team is about to break another, you catch it and drive the fix before it ships. - You use AI tooling daily to write specs, analyse data and prototype, and you move faster because of it. PROFILE (NICE TO HAVE) - Mobile user acquisition: app install campaigns, attribution or mediation. - Experience working with ML or data science teams. - Supply-side experience: ad exchange or SSP. - Background in statistics, operations research or economics. BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays
Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually Creating solutions that run on 13% of the world’s smartphones The Mobile Integrations team builds the core technology that turns advertising from an interruption into a rewarded experience for 770 million users. We own the robust, lightweight, integration layer between our ad engine and the global mobile ecosystem, ensuring our technology operates with minimal overhead while reaching a massive portion of the smartphone market. On the client side, our technology performs smoothly across 20 million daily SDK initializations. We build native Swift and Kotlin SDKs optimized for ms initialization and minimal binary overhead, with Unity, Flutter, and React Native wrappers that provide a unified API across the entire mobile ecosystem. Behind the scenes, a high-throughput Go and DynamoDB architecture handles the real-time state synchronization of millions of concurrent sessions. When your code runs on nearly one out of every seven smartphones on Earth, every millisecond of execution and every byte of memory counts. What you Will Do: - Own and prioritize the Mobile SDK product backlog, balancing customer needs, business priorities, technical requirements, and engineering capacity. - Translate product and developer needs into clear requirements, user stories, acceptance criteria, and actionable priorities for the engineering team. - Drive feature delivery from discovery and planning through development, testing, release, and post-launch evaluation. - Work closely with Android, iOS, Backend, QA, and other stakeholders to manage dependencies, resolve blockers, and ensure smooth delivery. - Gather and analyze feedback from customers, developers, and internal teams to identify integration pain points and opportunities to improve the SDK and developer experience. - Support SDK releases and rollouts, including release planning, documentation, adoption tracking, and communication with relevant stakeholders. - Use product data, SDK telemetry, and feedback to measure outcomes, identify opportunities, and continuously improve the Mobile SDK platform. Who You Are: - You bring 3+ years of hands-on experience as a Product Owner in a fast-paced, high-growth environment. (Bonus points if you have a background in ad-tech or Mobile/SDKs) - You aren't expected to write code, but you are right at home discussing SDK architecture. You grasp the fundamentals and differences between iOS and Android, empowering you to have meaningful debates with the development team and properly weigh technical debt against business value. - You have a proven track record of leveraging A/B testing and experimentation to drive product strategy. You know exactly how to define clear success metrics, analyze KPIs, and confidently pivot based on what the data tells you. - You are a digital native who speaks the language of both business and engineering fluidly. You excel at closing the gap, aligning what the business envisions with what the technology can actually execute. - You take deep ownership of your product. You are comfortable navigating ambiguity, working independently, and making the objective calls needed to balance incoming business requests with the long-term technical integrity of the platform. - You possess concise, direct communication skills. You know how to align, motivate, and guide interdisciplinary teams, cultivating a thriving and collaborative environment even as project requirements evolve. What you get: - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with core office days on Monday, Tuesday, and Thursday, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. We welcome applications from people who will contribute to the diversity of our company.