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Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE As a Field Engineer on the Pre-Sales team, you'll be the technical builder behind how we win and enable deals. You'll own two things: the integration work that proves technical feasibility to prospects and partners during the sales cycle, and the demo tooling that lets the entire go-to-market team tell a credible, product-accurate story. You'll work at the intersection of Sales, Partnerships, Product, Engineering, and AI, partnering with Account Executives and the Partnerships team as their technical counterpart. Unlike our Sales Engineers, who lead the customer-facing technical narrative, this role goes a layer deeper on the build: you're the person who can actually stand up a working integration against an unfamiliar API and turn it into a repeatable demo asset. This is a pre-sales role: you won't carry a closing quota, but your work directly determines whether technical buyers and integration partners trust that Avoca does what we say it does. WHAT YOU’LL DO - Own technical scoping and feasibility for pre-sales opportunities and partner integrations; turning ambiguous requirements from prospects, partners, and AEs into concrete, working implementation plans. - Build working integrations against third-party APIs, CRMs, field service management (FSM) platforms, telephony systems, and partner ecosystems, writing real code, handling REST APIs, JSON, authentication, and webhooks, and getting a credible proof of concept working quickly. - Build and maintain the demo and sandbox tooling the GTM org relies on: reusable demo environments, representative fixture data, and internal tools, treating one-off deal builds as reusable assets (integration patterns, reference implementations, scripts) rather than throwaway work. - Configure and tune Avoca's conversational AI for demo and POC scenarios, including prompt engineering to reflect real customer workflows. - Serve as the technical counterpart to Account Executives and Partnerships in the room with a prospect's or partner's engineering team, establishing credibility from the C-suite to individual developers, and translating those conversations into plans a non-technical AE can run with. - Troubleshoot and resolve technical issues that surface during evaluations, pilots, and POCs, protecting at-risk deals and partner launches. - Partner with Product and Engineering to feed recurring integration gaps and field learnings back into the roadmap, and to keep demo environments current as the product evolves. - Partner with (not replace) Forward Deployed Engineering and Implementation when a build needs to graduate from a working POC to a hardened production deployment: you own the pre-sales build and the demo layer; production delivery is a handoff. WHAT YOU'LL BRING - 4+ years in a technical, customer-facing role: Solutions/Sales Engineering, Forward Deployed / Deployment Engineering, Implementation or Integration Engineering, Solutions Consulting, or software engineering with meaningful customer exposure. - Hands-on ability to build. Proficient in TypeScript/JavaScript (Next.js, React, Node/Fastify); ships production-grade code and independently stand up an integration or demo tool, not just spec one for someone else to build. You don't need to be a production backend engineer, but "can build it yourself" is the bar. - Practical experience integrating against third-party APIs and enterprise systems: REST, JSON, authentication/OAuth, webhooks, and comfort working from unfamiliar or incomplete API documentation. - Working SQL and a solid grasp of relational data: enough to model, transform, and wire up realistic data for integrations and demo environments. - Experience owning something technical end-to-end, from requirements through build, testing, and a working rollout, even if handed off afterward. - Strong technical judgment and troubleshooting instincts, and the ability to explain complex technical concepts clearly to both technical and non-technical audiences. - A product mindset toward internal tooling: you treat demo and sandbox infrastructure as a product with users (the GTM team). - Familiarity with AI-powered products, conversational AI platforms, or data-driven systems. Bonus: prompt engineering, call center / communications platforms, CRM or FSM integrations, or prior Partnerships/channel support experience. WHO YOU ARE - Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments. - A builder who thrives on owning things end-to-end and turning one-off work into something reusable. - Autonomous, self-directed, and comfortable with ambiguity and incomplete requirements. - A proactive, effective communicator who's equally credible with a customer's engineers and your own AEs. - In-office, engaged, and eager to collaborate at our NYC location full-time. BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Daily in-office lunch through Parkday - Monthly wellness stipend - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected base salary for this role is $160,000-$200,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

-управлять командой, состоящей из DS, DE, MLOps. -соблюдать требования и стандарты производственного процесса банка.

💎 Опыт с AWS, Kubernetes, VPC, IAM, EKS, RDS, Strong English.

Location: Berlin, Germany; Helsinki, Finland; London, United Kingdom About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for an experienced Data Analytics Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building the tax data operations function for our Deliveroo and Wolt legal entities.  This includes building and operating the data pipelines and infrastructure that power tax analytics and support decision-making across the company. As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience working with Tax teams to gather requirements, and designing scalable data processes to support them.. This person will grow our unique community via your blend of tax, data technology, and process improvement experience. About the Role You will be reporting to the Senior Manager of Tax Data & Operations, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users. As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth. What you’ll be doing Lead the collection of Tax Data and Reporting requirements through close relationships with Tax team counterparts Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company Develop and optimize data models and warehouse structures to support analytics and reporting Participate in new business initiatives and identify their impact on existing data system(s) and processes. Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources. Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality. Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines. Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners. Participate in defining the Company’s data tooling needs, including the maintenance of existing systems. Prepare documentation related to our data systems and processes. Share knowledge and best practices with engineers and analysts across the team. Our humble expectations You have 7+ years of experience in a Tax data & technology or similar role. Experience using Data Build Tool (DBT) or a similar product to manage data flows. Experience using Claude, Cursor and similar AI tools. You are an expert at using SQL with experience using Snowflake. Proficiency in Python (or a comparable language) for building data pipelines. Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka. You have strong attention to detail and analytical, organizational, and problem-solving skills. You’re an independently motivated person with a proven ability to manage multiple projects and prioritize work independently. You have excellent written and verbal communication skills. Project management experience, including creation of project plans, milestones, and due dates. Computer Science, Information Technology, Engineering, or a related degree. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Looking for an engineer who has hands-on experience building AI agents that actually execute workflows, not just chat interfaces. You’ll work on agents that connect to APIs and internal systems, use tools, retrieve context, make decisions across multiple steps, and recover when something fails.

The role You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.

— Тестировать продукт целиком: мобильные приложения, веб, API, взаимодействие сервисов между собой. — Проверять не только то, что описано в acceptance criteria, а систему в целом: граничные случаи, сбои интеграций, поведение при плохой сети и параллельных действиях.

🕹 Список обязанностей: Мониторинг: создать систему, которая регулярно сверяет инвест тезисы с новыми данными и показывает подтверждается тезис, слабеет или требует пересмотра. Данные: Создать point-in-time хранилище: рыночные и фундаментальные данные, документы SEC, стенограммы звонков, новости, внутренняя аналитика.

Location: Bucharest, Romania Blue Projects’ Project Delivery & Engineering team is looking for a Structural Design Engineer to join our team in Bucharest, Romania. About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. Role Overview We are seeking a Structural Design Engineer, who is motivated to join a dynamic team delivering international, interdisciplinary design work. The role focuses on the modelling, design and detailing of steel and concrete structures, preparation of technical documentation and coordination with international design teams. You will contribute to complex international projects in a multidisciplinary and multicultural environment, using modern design tools while developing your expertise across major industrial and civil projects. Job Description Model, design and detail steel structures. Model, design and detail concrete structures. Prepare written technical documentation, including technical reports, specifications and calculation notes. Coordinate design activities with international design teams. Qualifications University degree in civil engineering, preferably with a specialization in Civil, Industrial and Agricultural Buildings (CCIA). Mid to advanced level of civil engineering knowledge. Working knowledge of SAP2000 and ETABS. Proficiency in Revit. Proficiency in the Microsoft Office suite. Working knowledge of IDEA StatiCa. Strong communication and teamwork skills. Advanced level of English Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

🌸Work with our engineers and leverage your own knowledge to understand the challenges they face and how to improve their experience. 🌸Contribute to our internal development platform (IDP) by designing, implementing, and maintaining internal tooling and systems.

Looking for an engineer who has hands-on experience building AI agents that actually execute workflows, not just chat interfaces. You’ll work on agents that connect to APIs and internal systems, use tools, retrieve context, make decisions across multiple steps, and recover when something fails.

Ищут Junior QA Engineer в продуктовую команду. Ваша задача - поймать такие вещи до релиза.

Location: New York City; San Francisco About the Role We’re looking for a Senior QA Web Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day. In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces. Key Responsibilities - Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle. - Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features. - Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved. - Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes. - Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process. - Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution. Qualifications - 5+ years of experience in QA, with strong hands-on experience testing web applications - Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds - Experience with integration and end-to-end testing across multiple connected products or services - Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams - Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently

Remote - Location: Mostly remote (within Germany), with monthly in-person collaboration at our Berlin officeHours: Part-time, 32 hours per weekContract: Fixed-termSalary: EUR 53,000 – 59,000 (at 32 hours per week)We are building a new capability that turns fragmented,...

Location: Moldova Company Background Coherent Solutions is a global digital product engineering company founded in 1995 and headquartered in Minneapolis, Minnesota. With a presence in nine countries and a team of more than 1,700 engineers, the company provides custom software development and engineering services across web and mobile applications, cloud, DevOps, and data. Coherent Solutions works with clients worldwide to build and scale digital products while fostering a culture of collaboration, transparency, and continuous professional growth. Project Description You will work with senior engineers on internal classical machine learning initiatives. The role combines structured learning, practical delivery, and gradual ownership of increasingly complex tasks. Technologies Python, pandas, NumPy, scikit-learn, Jupyter SQL XGBoost, LightGBM MLflow FastAPI Git, Docker, pytest What You'll Do Prepare and validate structured datasets for machine learning tasks, including cleaning, transformation, encoding, scaling, and missing-value handling; Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling; Build, test, and compare ML models for tasks such as regression, classification, clustering, dimensionality reduction, and anomaly detection; Develop and select features with guidance from senior engineers; Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics; Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation; Write and maintain automated tests for data and model-related code; Support the delivery of models through REST APIs or batch-processing workflows; Document model assumptions, results, limitations, and technical decisions; Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks; Job Requirements 1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter; A strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills; An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection; Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills; An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis; Familiarity with hyperparameter tuning and reproducible ML pipelines; SQL skills for data extraction and analysis; The ability to expose models through REST APIs or batch-processing workflows; Familiarity with Git, automated testing, Docker, and basic model monitoring; The ability to explain model behavior, assumptions, limitations, and results; English at B2 level or higher; Nice To Have XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, and GenAI, LLM, RAG, prompt-engineering, or agent-development experience; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Москва Оптимизируем наши модели под форматы популярных инференсных фреймворков. Задача создание инфраструктуры для эффективного инференса наших моделях во всех популярных фреймворках: Diffusers, FastVideo, SGLang, vLLM, Comfy-UI. А также создание воркеров для доступа к инференсу наших моделей на fal.ai, Arena.ai и др. Обязанности * Разработка и оптимизация high-load пайплайнов распределенного инференса (PyTorch) с использованием FSDP, Tensor/Sequence Parallelism. * Имплементация моделей в популярных фреймворках: Diffusers, SGLang, vLLM, FastVideo, Comfy-UI, Transformers * Развертывание воркеров для инференса моделей Требования * Экспертный уровень Python, PyTorch, torch.distributed. * Опыт масштабного инференса моделей с FSDP/TP/PP. * Понимание работы разных типов данных (bf16, fp8). * Опыт работы с SGLang, vLLM, Transformers * Понимание принципов работы диффузионных моделей * Английский язык B2+ Условия * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * льготная программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

О нас: Мы команда тестирования продукта NGFW (Next Generation Firewall). Наш продукт призван органично встроиться в сетевую инфраструктуру и обеспечить надежную защиту в сетях передачи данных. Среди наших задач ручное тестирование виртуальных и аппаратных платформ, тестирование интеграций с внешними продуктами, разработка тестового окружения. Обязанности: Подготовка тестовых сценариев, составление отчетов по тестированию; Подготовка тестовых стендов, настройка тестового окружения; Тестирование программного продукта по требованиям и тестовым сценариям; Воспроизведение проблем, регистрация обнаруженных дефектов; Проверка пользовательской документации. Требования к кандидату: Знание и понимание принципов организации сетей передачи данных; диагностика сетевых проблем; Знание и опыт работы с протоколами динамической маршрутизации: OSPF, BGP; Знание ОС Linux на уровне уверенного пользователя; Технический английский (поиск информации, чтение документации). Будет преимуществом: Опыт работы сетевым инженером или администратором NGFW и других средств защиты и мониторинга сетей; Опыт работы с трафик-генераторами.