Вакансии

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Bengaluru, India About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for an experienced data scientist to join our Bangalore team and help scale the next generation of our AI/ML models. In this role, you will train predictive models and the workflows behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends,  partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner. Define, implement, and train statistical, machine learning, deep learning and generative AI models. Use software engineering best practices to publish model scores/insights/learnings at scale within the company. Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends. Active role in hiring, growing, and mentoring the data scientist team in Bengaluru. Examples of desirable skills, knowledge and experience Bachelors or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields. 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams). fast-growing SaaS business based company is preferred. Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth) Strong experience in scientific computing using Python Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc. Experience working with and processing structured, unstructured, and semi-structured data. Strong cross-functional collaboration experience with data engineering and data analysts teams within the function. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases. Strong communication and presentation skills catered to different audiences within the company. Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs. Experience in hiring data scientists and establishing team best practices is preferred. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Разрабатывать и поддерживать backend продукта ИИ-роутер на TypeScript. Опыт разработки backend на TypeScript.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Staff Engineer (Payment Processing) at Checkout.com http://Checkout.com, you will set the technical direction for our Gateway, Routing and Payout platforms. Every payment and payout we process passes through these systems, from the merchant's API request to the routing decision that sends it to the right acquirer, payment method or payout rail. Correctness matters on every transaction, and small changes in availability, latency or routing quality show up directly in our merchants' approval rates and revenue. This is a role for engineers who are energised by scale and by the hard trade-offs that come with it: latency budgets on the authorisation path, failure domains and blast radius, consistency and idempotency across regions, and the operational reality of running critical infrastructure around the clock. You will operate as a force multiplier across multiple teams - shaping architecture, raising the engineering bar, and turning ambiguous, business-critical problems into designs that can be delivered incrementally. We're looking for individuals with deep technical judgement, strong ownership, and a pragmatic approach to breaking big problems into smaller iterations that deliver value continuously. How you'll make an impact - Own the architecture of high-throughput, low-latency distributed systems, defining the service boundaries, data models and integration patterns that let them scale by an order of magnitude - Design for resilience from first principles - redundancy, graceful degradation, backpressure, idempotency and recovery - so that partial failures never become customer-facing outages - Set and defend the non-functional requirements that matter: availability targets, latency percentiles, throughput ceilings, data durability and recovery objectives - Lead the hardest technical decisions end to end, from problem framing and design review through to production rollout, migration and decommissioning of what came before - Drive operational excellence by improving observability, alerting, capacity planning, load and chaos testing, and incident response, and by closing the loop on the root causes you find - Raise the engineering bar across teams through design reviews, code review, pairing and mentorship, growing the senior engineers around you - Partner with product, platform and other engineering teams to sequence delivery, remove blockers and keep multi-team programmes aligned on a single technical direction - Make pragmatic build-versus-buy and refactor-versus-rewrite calls, and communicate the reasoning and trade-offs clearly to both engineers and senior leadership Experience and qualifications - Significant experience building and operating distributed backend systems in production, with a track record of technical leadership across multiple teams - Demonstrable experience designing for high throughput and low latency, and a strong intuition for where systems break under load - Deep understanding of resilience patterns in distributed systems: idempotency, retries and backoff, circuit breaking, queueing and backpressure, consistency and failure modes - Strong proficiency in either .NET or Java, and the ability to write clear, production-ready code that others can maintain - Experience with event-driven and streaming architectures, and with relational and non-relational data stores at scale - Hands-on experience with cloud-based application development (we use AWS & Azure), containers, orchestration and infrastructure as code - Experience owning production systems on call, with a strong sense of ownership for observability, monitoring and incident response - Experience leading complex migrations or re-architectures of live, business-critical systems with no loss of availability or data integrity - Excellent communication skills, able to influence without authority, write clear design documents, and express technical trade-offs to engineering and non-technical audiences alike Nice-to-haves - Experience in payments, financial services or another domain with strict correctness, auditability or regulatory requirements - Experience with multi-region or active-active architectures, including data replication and failover strategies - A history of mentoring engineers into senior and staff-level roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Seoul Workplace: Hybrid adjoe https://adjoe.io/ is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, Tokyo, Seoul, Amsterdam, Beijing, and São Paulo, adjoe is defining the next stages of app and ad experience – right now. Join us. Meet Your Team: Rewarded Solutions Our Rewarded Solutions team develops the technology behind adjoe’s innovative rewarded engagement products that serve over 57 million daily mobile users. The team’s tech stack consists of three major components: native Android and iOS SDKs written in Java/Kotlin and Swift handling complex engagement flows; widely customizable offerwall applications built with React TypeScript; and a highly performant Golang backend hosted on AWS that processes millions of events hourly. Our system matches each game with its ideal users, delivering rewards optimized for satisfaction through data processed via AWS Athena, Kafka, Spark, S3, and MySQL. For team members, this means having state-of-the-art resources to build engaging rewarded ad experiences that seamlessly integrate into the world’s top apps while delivering exceptional results for advertisers and monetizers in this industry-leading technology. What You Will Do: - Manage the technical onboarding of our newest app partners in Korea, ensuring a smooth SDK implementation process. - Partner with publishers as a trusted technical advisor, helping them shape their technical strategy, overcome challenges, and identify opportunities to achieve their business goals. - Support publishers with integration issues, ranging from debugging mobile app code to fine-tuning configurations, and proactively identify recurring issues and work with Product and Engineering to develop solutions. - Support the supply business team with data-driven insights to help publishers achieve their KPIs, and partner with Growth Managers to prepare impactful Quarterly Business Reviews (QBRs) that identify opportunities for revenue growth. - Contribute to product ideation and drive product improvements by translating customer and support team feedback into actionable solutions. - Maintain clear, easy-to-understand documentation of the integration process. - Collaborate with an international, English-speaking team dedicated to scaling our adtech platform beyond hundreds of millions of monthly active users. Who You Are: - You have 3+ years of experience in a technical client-facing role in AdTech, Big Tech, or SaaS (TAM, Sales Engineering, or Solutions Architecture), with some exposure to the mobile ecosystem. - You can break down complex technical concepts into clear, easy-to-understand explanations for business teams and partners in both Korean and English. - You have strong analytical and communication skills, can turn data into actionable insights, and are comfortable using SQL to query databases. - You understand how technical systems communicate, including how to test HTTP REST endpoints and troubleshoot common integration issues. - You have a curious mindset and are comfortable asking questions to challenge assumptions and uncover root causes. - You take initiative and have a strong bias toward action. You proactively identify gaps, think critically about potential solutions, and take ownership of driving improvements rather than waiting for others to act. - Fluency in Korean and English - Plus: A software engineering background and experience with Java and app development. - Huge plus: You have hands-on experience supporting app publishers through SDK integrations, debugging complex issues, and guiding them on best practices for smooth rollouts and long-term success. - Location: Based in Seoul We welcome applications from people who will contribute to the diversity of our company.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you! Your Experience Must have: 7+ years of professional experience in the field of machine learning Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines Strong Python programming skills for efficient model development and deployment Experience with both traditional ML and modern LLM frameworks Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies Experience in building and managing data pipelines using tools like Apache Spark Excellent communication skills and ability to collaborate with diverse teams Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: Advanced degree in Computer Science, Mathematics, or a related field Familiarity with statistical and measurement fundamentals and running and evaluating AB tests Data visualisation skills Experience in the MedTech domain What you'll be doing You'll be responsible for: Explore, develop and test complex ML/AI systems to improve female health Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Москва Наша команда разрабатывает решения для оркестрации бизнес-процессов ипотечного домена, в основном связанных с перечислением денежных средств и хранением данных. Поэтому основной упор при разработке делается на отказоустойчивость создаваемых сервисов. Обязанности ### Обязанности * проектирование и разработка backend сервисов * написание всех видов тестов (от unit до нагрузочных при необходимости) * участие в code review * конфигурирование и поддержка стендов разработки и тестирования * работа с CI/CD пайплайном (Jenkins) * взаимодействовать со смежными командами Требования ### Требования * опыт коммерческой разработке на Java от 5 лет * опыт работы с Spring Framework (boot, core, web, data, kafka, scheduler) * знание и следование принципам ООП * знание и понимание основных архитектурных паттернов (слоистая архитектура, saga, event sourcing, cqrs, sidecar, stateless service и т.д) * уверенное применение паттернов проектирования * навыки программирования с использованием LLM Условия ### **Мы готовы предложить:** * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис на Кутузовской, зонами отдыха и спортзалом * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм+ с возможностью совместного использования на трёх близких.

Открыта позиция продуктового дизайнера для доведения до production интерфейса AI-чата и продуктов экосистемы (калькуляторы, кошелек, CMS). — Ревизия UI/UX и улучшение существующих решений.

Location: Limassol Cyprus Workplace: OnSite Job Title: Staff/Lead SDET Engineer (Test Automation Platform) Product: Total Battle Total Battle is a massive MMO 4X strategy game available on mobile and web, uniting millions of active players. As our product and engineering teams scale, we are shifting our testing paradigm: automated testing must become a daily, self-service engineering tool rather than a bottleneck owned by a dedicated team. We are looking for a Staff/Lead SDET to take technical ownership of our internal test automation tooling and make this vision a reality. Why this role exists Your core mission is to empower product QA teams. You won't write tests; you will build the tools, APIs, and abstractions that allow QA engineers (with basic Python & OOP skills) to independently create checks, manage test states, run tests in CI/CD, and diagnose failures. - The Product Teams own the tests. - You own the tooling layer that makes their work possible. [https://app.ashbyhq.com/api/images/user-content/55591132-5874-4888-add0-f14f70025dca/2aa3a273-986b-4c05-b6a2-27fee33e607f/image.png] 💡 Core Focus Areas: 1. Client Testing Tools: UI scenarios, method/component checks across Android, WebGL, and (soon) iOS. 2. Server Integration: Component testing tools built over existing Python clients, SDKs, and product testability capabilities.(Note: We aren't starting from scratch. We need a visionary who can assess our existing solutions, define a target architecture, and evolve them incrementally). What You’ll Work On - Drive Technical Strategy: Define the roadmap for QA tooling, evolve its architecture, and personally implement key solutions. - Build the Platform: Develop domain APIs, fixtures, and state-preparation tools for integration/component testing over existing SDKs. - Enhance Client Automation: Extend client UI automation and enable sub-UI checks for specific client methods. - Unify Execution: Ensure local and CI execution follow a predictable, unified path across Android and WebGL. - Create Diagnostics: Build clear diagnostic tools to help QA engineers easily distinguish between product, test, tooling, and infrastructure failures. - Cross-Team Collaboration: Translate recurring QA needs into product testability requirements and establish technical contracts with client/backend teams. - Evangelize & Mentor: Drive adoption of your tools through pilots, solid documentation, and feedback loops. (Where needed, help define engineering roles and participate in hiring/onboarding). Who You Are We are looking for a hands-on technical leader who thrives in long-term ownership of internal platforms. - Python Expert: You regularly write, debug, and maintain Python code for libraries, frameworks, SDKs, or internal tools. - Platform Builder: You have designed or substantially evolved a framework/SDK used by multiple teams, bringing it to a point where teams can use it independently. - API Designer: You know how to build stable public APIs over existing SDKs, hiding low-level details from the end-user. - Cross-Functional Driver: You’ve successfully worked with backend, client, or framework teams to deliver testability capabilities, driving changes even when you don't directly manage the teams. - CI/CD & Diagnostics Guru: You have integrated automated checks into CI quality gates with robust reproducibility and diagnostics. - AI Adopter: You leverage LLMs and coding agents to investigate codebases, develop tooling, or create tests efficiently. - Deep Domain Expertise: You have profound hands-on experience in at least one of the following (and can take technical responsibility for the other): - Client/UI automation: Drivers, custom/non-native UI, synchronization, and sub-UI checks. - Backend/integration tooling: Python clients/SDKs, protocols, sessions, fixtures, and test state. Nice to Have (Bonus Points) - Experience in both client/UI and backend/integration tooling. - Background in modernizing legacy automation and conducting incremental user migrations. - Experience with complex test lifecycles (data isolation, flaky checks, state management). - Experience in GameDev or complex live-service products (Unity, Cocos/Axmol, WebGL). - Familiarity with Selenium, Appium, Playwright, XCUITest, Android ADB, or iOS infrastructure. - Experience with asynchronous Python, typed models (Pydantic, mypy), or schema-based code generation. Why to join: 1. ☀️ Live & Work in Sunny Cyprus: We’re an office-first team in Limassol with a modern seaside workspaces. We provide full relocation and visa support for you and your family. 2. 💰 Industry-Leading Rewards: High salaries, a 13th salary, performance bonuses, extra rewards for life milestones (marriage, babies, long service), daily breakfast and lunch. 3. 🛡️ Family Support: Private family health insurance, plus a highly competitive monthly allowance for your children’s pre-school, school, and university education. 4. 🚀 Shape a Global Hit: Work on a Top-10 global mobile 4X strategy game that has grown 25x in revenue and audience over 5 years. 5. 🏰 Rock-Solid Stability: We operate at startup speed but with zero history of lay-offs. We are independent, financially secure, and boast a 99% employee satisfaction rate. 6. 🧠 Culture & Growth: A flat structure where the best ideas win and transparency rules. Your growth is funded from specialized training, certifications, language courses and books to internal and external conferences coverage.

▪️ SQL & Database Management. ▪️ Backend & API Development.

-Анализировать требования, техническую документацию и бизнес-логику реализуемых изменений. -Тестировать backend-сервисы и REST API.

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. ROLE SUMMARY You own the marketing-technology layer behind Taxfix's growth: the conversion signals that tell ad networks who converted, the customer data that powers CRM, the consent flows that decide what we may share and with whom, and the referral program, one of the growth mechanics the team owns end to end. This is a senior individual-contributor role with no direct reports. You set direction for a small engineering team (a tech lead plus 3–4 engineers, two-week sprints) that supports four products across three markets, with Paid Acquisition, CRM, Brand and Creative as internal customers. A typical week mixes debugging a missing ad-network event, scoping a referral reward, settling a data-sharing question with Legal, and explaining trade-offs to leadership. All work, including across markets, happens in English; German is not required. WHAT YOU'LL DO - Own conversion-signal engineering for paid acquisition: client-side and server-to-server events into Singular, Firebase/GA4, Google Ads and TikTok, including synthetic events, revenue values and predicted-LTV signals. - Run the referral program as a product: reward mechanics, eligibility and fraud rules, voucher infrastructure (Voucherify), the in-app voucher wallet, entry points, and the experiments that tune them. - Grow push and marketing-consent opt-in through permission primers, iOS/Android OS permission flows and notification preferences. - Keep CRM data trustworthy: Braze attributes and events, Snowflake-to-Braze syncs, event-loss monitoring, and moving legacy messaging (SendGrid, Firebase) onto Braze. - Turn consent and privacy requirements into product behaviour, and work with Legal on what data can go to which partner. - Adapt tracking, CRM attributes and attribution to company launches, such as new subscription pricing tiers, without breaking downstream campaigns or reporting. - Turn stakeholder requests, support escalations and spike findings into tickets engineers can start on, and decide what goes into the sprint. - Weigh roadmap work against platform upkeep: pipeline migrations, security fixes, end-of-life SDKs. - Design A/B tests (Eppo) and read the results for marketing and consent opt-s, and referral changes. - Report progress, risks and trade-offs in writing to marketing leadership, including VP and C-level. MUST-HAVE SKILLS AND EXPERIENCE - Several years as a product manager owning martech, growth infrastructure or data products, setting your own roadmap with senior stakeholders. - Hands-on mobile and web attribution: an MMP (Singular or comparable), server-to-server events, and ad-network conversion setups (Google Ads, TikTok). - Event-tracking depth: you can define an event schema, write a tracking spec, and trace a missing or duplicated event through Segment, Google Tag Manager and the receiving platform. - CRM data platforms, ideally Braze: custom attributes, event-triggered segmentation, data ingestion and sync quality. - Working knowledge of EU consent and privacy: GDPR, consent mode, iOS App Tracking Transparency, and how push permissions behave on iOS and Android. - Experimentation: framing hypotheses, choosing and configuring metrics, judging when a result is real. - Precise writing: specs that engineers (and AI coding agents) can start on without a meeting, and concise updates and decision memos for leadership. - Enough technical fluency to work through trade-offs with engineers across mobile apps (React Native), backend services and data pipelines, and to triage production incidents. NICE TO HAVE - Performance marketing experience with the main app and web acquisition channels (e.g. Google Ads, TikTok). - Referral, loyalty or voucher programs; Voucherify specifically. - Predicted-LTV or value-based bidding signals (e.g. Churney). - Deep linking and deferred deep linking across ad networks. - AI-driven CRM orchestration (Aampe) or creative asset tooling (Frontify, AI creative tagging). - Building AI agents or automation for product and engineering workflows. - Querying data yourself in SQL (Snowflake), and familiarity with dbt and Airflow. 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.

-5+ years of professional software engineering, including ownership of production systems rather than isolated features. -Strong SQL Server - T-SQL, stored procedures, triggers, indexes and execution plans.

Location: Москва Команда Сбербанк Страхования в поиске Fullstack разработчика Java/JavaScript. Вместе с нами предстоит разработка системы ELMA 365. Обязанности * Разработка Backend сервисов для продуктов команды ДМС; * Согласование и разработка компонентов системы и взаимодействие с другими участниками процесса разработки; * Знание стандартов и контроль качества кода в команде; * Активное участие в принятии архитектурных решений; * Помощь при разборе промышленных инцидентов. Требования * Высшее профильное образование; * Опыт разработки на Java от 5-ти лет; * Опыт разработки на JavaScript от 4-х лет (React, Angular, Typescript, RxJS); * Понимание работы docker/docker-compose, kubernetes; * Опыт работ с промышленными СУБД (PostgreSQL); * Опыт работ с брокерами сообщений RabbitMQ/Kafka; * Инструментальное владение AI для анализа, генерации и автоматизации. Условия * Гибридный формат работы (современный офис м.Проспект Мира); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Delivery Club, Самокат, Ситимобил, Сбер Еаптека и другие; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификации.

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Location- Hyderabad, India Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer to join our Hyderabad (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Москва Мы команда в Департаменте корпоративной архитектуры, создаем и внедряем GenAI-решения. Отвечаем за повышение эффективности ИТ-решений и автономизацию принятия архитектурных решений. Создаем решения, которые дают значительный бизнес-эффект. Обязанности ### Обязанности * руководство командой разработки (2 человека) * проектирование, разработка и внедрение мультиагентных систем: от генерации идеи и сборки MVP до успешного запуска в продакшн * выстраивание процесса оценки и тестирования качества работы агентов (evals) * перевод бизнес-потребности на язык машинного обучения и предлагать оптимальные архитектурные решения * оборачивание разработанной модели и сложную бизнес-логику в надежные микросервисы на Python * дообучение LLM (на базе GigaChat) под специфичные бизнес-задачи и предметные области (Fine-tuning, LoRA) Требования ### Требования * от 5 лет опыта в коммерческой разработке (Data Science / NLP / Backend) с уверенным практическим применением LLM * опыт создания и успешного вывода в продакшн enterprise-решений на базе AI-агентов * от 1 года опыта технического лидерства или менторства * LLM & Agents: глубокий опыт разработки LLM-пайплайнов, RAG-систем и мультиагентных архитектур. Знание и применение фреймворков: LangChain, LangGraph, DeepAgents (или аналогов) * NLP & ML: фундаментальное понимание NLP (от классики TF-IDF до современных трансформеров) и алгоритмов классического ML * Python Backend: понимание принципов проектирования микросервисной архитектуры (REST API); опыт написания асинхронных и многопоточных приложений (aiohttp, asyncio, multiprocessing) * опыт интеграции ML-моделей и AI-агентов в высоконагруженные системы * инструменты: свободное владение Git, SQL, Bash, Docker * готовность проводить код-ревью и давать обратную связь. ### Будет плюсом * интерес к SOTA-подходам в агентной разработке и LLM * опыт работы с Kubernetes и понимание принципов CI/CD * участие в соревнованиях Kaggle или аналогичных. Условия ### **Условия** * гибридный формат работы из г. Москва * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Кутузовской с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO The agent must collect and use a card number but can never see it. This work sits across four hard technical domains: payments, security, real-time voice, and LLMs. Voice is the core challenge. A caller speaks or types a card number in a live, low-latency audio stream, and the digits must never reach the model, while the model stays on the call. Sierra owns every system that touches card data, and one small team owns it end to end across three workstreams: Platform, Product, and Safety & Integrity. Customers keep their own telephony and payment gateways. Payments is live in production for some of the largest consumer enterprises, on a platform that handles hundreds of millions of calls a year. The platform is certified to PCI DSS Level 1. - Build real-time card capture for voice: intercept keypad and spoken digits in a live audio stream, upstream of the agent runtime in a network-segmented environment, while the LLM stays live on the call. Make it work across every telephony provider and protocol Sierra supports. - Build and extend the tokenization platform: agents receive and send short-lived tokens, and the platform swaps a token for the real value only when it calls the customer's payment gateway. - Own the payments egress control plane: every destination for card data is approved, versioned with the agent release, and enforced by infrastructure below the application, not by convention. - Make payment actions correct: an at-most-once action primitive in the Agent SDK, validated amounts and items, and monitoring that compares what the agent said about a payment with what really happened. - Keep card data out of places it should not be: deterministic detection in the agent's hot path that catches what general-purpose models miss. No LLM, including any we build ourselves, ever sees a plaintext card number. - Make payments self-serve: one payments API across Agent Studio, the Agent SDK, and Ghostwriter, Sierra's agent-building agent; gateway middleware that developers write against tokens; and support for single-tenant and customer-cloud deployments. Any team can add payments to an agent without a payments engineer in the loop. - Grow the platform beyond cards: extend tokenization into a privacy vault for all PII. WHAT YOU'LL BRING - 5+ years building backend, platform, or infrastructure systems, with a track record of shipping and operating high-reliability services in production. - A deep security instinct. You design as though every component will eventually be compromised, and you reason naturally about blast radius, least privilege, and making bad states impossible rather than reacting to them. - Rigor about correctness under failure: retries, idempotency, at-most-once behavior, and clear handling of timeouts and unclear results from external systems. - Fluency in a systems language (we use Go) and comfort owning critical systems end to end, from design through production and on-call. - Range and ownership. You like a small team with broad scope, you build clean abstractions over messy external systems, and you're never satisfied solving a problem once per customer. - Clear communication. You can explain a design or a risk to other engineering teams and to non-engineers. - Degree in Computer Science or a related field, or equivalent professional experience. You don't need payments experience. The engineers who built this platform came from backend, infrastructure, and security work, not payments. We care more about how you build correct, secure systems than about the word "payments" on your resume. EVEN BETTER… - Real-time or streaming systems: voice, telephony, media, or low-latency pipelines. - Applied cryptography and key management, network isolation, egress control, or cloud security. - Platforms other engineering teams build on, such as APIs, SDKs, and self-serve developer services. - Deployments into customer-owned clouds or single-tenant environments. - Customer-facing technical work, such as architecture reviews with customers. - Setting technical direction on ambiguous, high-stakes problems. - Payments, fintech, or another sensitive-data domain such as healthcare or identity. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team. AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents. Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery - Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like. - Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users. - Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it. - Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave. - Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent. - Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks. WHAT OWNERSHIP LOOKS LIKE - A bias for shipping. You move fast, and you finish what you start. - Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences. - An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago. - An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability. - Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web. - 3+ years building production software that real users depend on. WHAT YOU'LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes in a high-autonomy culture. - 4+ years hands-on experience building production systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience building AI products for enterprise or consumers - Experience building native SDKs for iOS (Swift) or Android (Kotlin) - Experience building messaging apps, voice apps or voice agents - Experience with SIP, WebRTC, Twilio or contact-center platforms - Experience with real-time, low-latency distributed systems None of these are required. If the problems above excite you, we’d love to hear from you. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.