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Flow Enablement Coach

At TaxDome , we're building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we've grown into a 400+ fully remote team across 40+ countries , serving tens of thousands of businesses worldwid…

taxdome · На сервисе с: 03.10.26 18:53

Зарплата не указанаНе указана странаЛокация не указанаУдалёнка
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About TaxDome

At TaxDome, we're building the #1 practice management platform for accounting firms in the US and globally. Founded in 2017, we've grown into a 400+ fully remote team across 40+ countries, serving tens of thousands of businesses worldwide with millions of end clients.

How we work

You'll be part of a globally distributed team built on trust, ownership, and self-management.

We focus on outcomes over activity, prioritizing clear ownership, pragmatic decision-making, and accountability for results over rigid processes. Collaboration is central to how we operate: we communicate openly, involve the right people early, and continuously improve how we build products and teams together.

About this role

We seek an experienced Flow Enablement Coach to strengthen delivery health within a product development Cluster and help its Pods — small, cross-functional groups that form around a delivery goal — find their own sustainable working rhythm. This role is an evolution of the traditional Agile Coach: we've moved away from framework adoption and process compliance toward flow, delivery health, and the human dynamics that drive sustainable performance in the Agentic Development era.

Our R&D organization is in the middle of an AI transformation, moving to a model where Clusters operate through Pods, so a growth mindset is essential — you should be excited to rethink how coaching works in the organization as it moves toward Agentic Development, where AI agents work alongside engineers as part of the workflow. You'll be embedded in one Cluster as its dedicated FEC, reporting to the Head of Agile Coaching / Flow Enablement, and part of a small team of coaches who share practices and learnings across the R&D organization.

The ideal candidate is a signal reader who detects systemic impediments before they become blockers, and who understands what's happening underneath the metrics — psychological safety, energy shifts, and friction that doesn't show up on a dashboard. We expect their approach to be grounded in flow thinking, evidence-based improvement, and genuine care for the people doing the work. They should independently identify emerging problems and work with Pods, Product Managers, and the Cluster Engineering Manager to resolve them.

It's a fully remote role, we are hiring across European timezones.

Objectives of this role

  • Serve as a reliable partner to Product Managers, Cluster Engineering Managers, and Pods in their efforts to maintain healthy flow, manage WIP, and sustain delivery momentum.
  • Detect systemic impediments within the Cluster early — by reading signals in flow metrics, Pod interactions, and the gaps between what people say and what the data shows.
  • Support Pods through change by providing context, building shared understanding, and creating feedback loops that make the impact of change visible.
  • Strengthen psychological safety and open dialogue within Pods, helping surface friction, energy shifts, and blockers that don't appear in dashboards.
  • Champion evidence-based improvement: help Pods use flow metrics (Cycle Time, Throughput, WIP age) to make better decisions about how they work.
  • Lead the local Org Design adaptation, identifying impediments that undermine Cluster performance, and proactively suggesting sustainable solutions.

What you'll be responsible for

  • Own Delivery Health within your Cluster: monitor flow, WIP discipline, and momentum; raise risks and patterns to leadership when needed.
  • Help Pods find their own working rhythm rather than prescribing a specific framework or process.
  • Coach and support Product Managers, Cluster Engineering Managers, and Pod members on flow-based ways of working.
  • Facilitate key Cluster and Pod events, retrospectives, and alignment sessions, ensuring an atmosphere of honest conversation and actionable outcomes.
  • Apply Systems Thinking to identify root causes of recurring delivery problems and support Pods in resolving them.
  • Work with flow and process metrics — collecting, analyzing, automating, and making them actionable for Pods and stakeholders.
  • Support organizational change initiatives within R&D, helping the Cluster navigate transitions and new operating models.
  • Collaborate with management on team composition, Pod formation, and cross-team coordination when delivery structures evolve.
  • Maintain objectivity when addressing issues — surface uncomfortable truths constructively, without taking sides.
  • Take ownership of outcomes, not tasks — proactively identify what needs to happen, drive it forward, and make your impact visible to stakeholders without being asked.

What you bring

Must-have

  • 4+ years of experience as an Agile Coach, Flow Coach, Delivery Manager, or Scrum Master in a role focused on delivery health and team effectiveness.
  • 6+ years of experience in software product development companies.
  • Comfort with ambiguity and evolving organizational structures; experience supporting people through change.
  • Strong understanding of flow-based approaches (Kanban, flow metrics, WIP management), scaling patterns (KMM, LeSS, FaST) and how to apply them in practice.
  • Experience reading and acting on delivery metrics: Cycle Time, Throughput, WIP age, flow efficiency.
  • Demonstrated ability to detect systemic issues within and across Pods and facilitate their resolution.
  • Strong coaching and facilitation skills — able to guide Clusters, Pods and individuals toward their own solutions without prescribing answers.
  • Excellent written and verbal communication skills.
  • Strong understanding of traditional SDLC and ideas on how agentic development patterns change it.
  • Experience with flow analytics tooling (DX, Jira dashboards, LLM-based automated dashboards, or similar).
  • Strong sense of ownership and follow-through — you make commitments and deliver on them, and you course-correct openly when something isn't working.
  • Hands-on experience using AI tools (LLM-based assistants, automation workflows) to improve both personal and Pod productivity. Willingness to actively experiment with and adopt new AI-powered tooling.

Nice-to-have

  • Relevant certifications (KMP, PSK, CLP, Anthropic Academy, DeepLearning.AI, or equivalent).
  • Work experience in SaaS companies during periods of active growth and scaling.
  • Practical experience with AI-assisted development environments and automation frameworks (e.g., Claude Code/Cowork, RAG pipelines, MCP integrations, or equivalent). Understanding of how AI adoption changes team dynamics, delivery patterns, and coaching approaches.
  • Computer Science degree or engineering background.

What we offer

At TaxDome, we aim to create an environment where people can do their best work and grow alongside the company.
  • Competitive compensation, paid in USD, transparently shared before the first interview
  • Performance-based internal incentive plan
  • Fully remote work with flexible hours
  • 30 paid days off annually, plus sick days as needed
  • Health & well-being support
  • Learning & development budget to support your professional growth
  • English lessons reimbursement
  • Co-working space reimbursement
  • Company-provided equipment (conditions may vary depending on the role)
  • A high level of autonomy and ownership in your work
  • The opportunity to make a real impact in a fast-growing global SaaS company
  • A collaborative, international team with a strong product mindset
Upon successful completion of the interview process and acceptance of the offer to join, an employment verification check will be conducted as part of pre-boarding — confirming job titles and dates of engagement with 2 of your previous employers. This is a required step for all new joiners.

If you're excited about this opportunity and believe you could make an impact at TaxDome, we'd love to hear from you!
​
By applying, you acknowledge that your personal data will be processed in accordance with TaxDome’s Privacy Notice.
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Статьи для Специалист по внедрению AI

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Learning Experience Designer

tripletenНа сервисе с: 03.10.26 20:23
Зарплата не указанаИспанияСербияMadridУдалёнка
Description

Nebius Academy (powered by TripleTen) provides assessments and training for tech companies and aspiring professionals worldwide, helping companies & individuals transform their lives through career development and acquiring the new skills needed as a tech professional.

Our focus on data science, machine learning, and generative AI helps tech-forward companies level up their employees' skills and drive innovation.

We are looking for a Learning Experience Designer to join our B2B Curriculum team and develop technical / AI-focused courses for corporate clients. You will turn client needs and subject-matter expertise into practical, scalable learning experiences and continuously improve them using learner feedback and expert recommendations.

This is a full-time remote contract position. After the Online Introductory Call, candidates will be required to complete a test assignment.

What you will do
  • Own the end-to-end development of new B2B courses, from learning needs analysis and high-level design to final course documentation, in collaboration with Product Managers and subject-matter experts.
  • Build course Skill Trees and map learning outcomes across the course, modules, and individual lessons.
  • Create educational content, practice exercises, assessments, and learning aids based on materials provided by subject-matter experts.
  • Prepare clear briefs for designers and video editors, and develop outlines and facilitator materials for workshops, seminars, and other live formats.
  • Analyze each client’s learning needs, business goals, workflows, tools, operational constraints, and learner profiles together with Product Managers and client stakeholders.
  • Customize learning activities, case studies, learning paths, curriculum structure, and schedules to reflect authentic client tasks and the needs of different roles.
  • Continuously improve the learning experience by auditing cognitive load, motivation, difficulty, and alignment with learning outcomes; use learner feedback and expert recommendations to update content and maintain an improvement backlog.
Requirements

Must have:

  • At least three years of experience as an Instructional Designer, Learning Experience Designer, Learning Content Developer, Program Designer, or in a comparable role.
  • Proven experience applying modern learning experience design models, methodologies, and frameworks to the development of complex skills.
  • Experience structuring end-to-end learning experiences, including building Skill Trees and Learning Journey Maps and mapping learning outcomes.
  • Ability to create different forms of educational content, including long reads, projects, practice tasks, infographics, and other learning aids.
  • Experience designing and integrating skills and knowledge assessments into a course.
  • English proficiency at C1 level (strong B2 users with a good fit in other requirements are welcome to apply, too).

Nice to have:

  • Strong familiarity with popular AI tools (e.g., Claude, Claude Code, Claude Design). Experience creating your own agents or workflows, or some familiarity with coding, is a strong plus.
  • Experience adapting curricula for B2B clients based on their business goals, workflows, learner profiles, and operational constraints.
What we can offer you
  • Compensation of USD 2,500–3,000 gross per month under a service agreement.
  • Remote, full-time collaboration.
  • Performance reviews twice a year and a bonus system.
  • Digital office. We use modern digital tools such as Miro, Notion, and Slack to keep our teamwork smooth.
  • Professional autonomy. We trust your expertise and do not believe in micromanagement.
  • Room to grow. Our product is expanding rapidly, creating opportunities to take on new challenges and develop professionally.
  • A diverse and close-knit international team working across Europe, Asia, and Latin America.
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Бизнес-аналитик по автоматизации процессов (RPA / AI-агенты)

ан2На сервисе с: 03.10.26 20:27
150k–200k ₽РоссияМоскваУдалёнка

О компании

Мы — ИТ-интегратор, специализирующийся на проектировании и внедрении решений по роботизации (RPA) и созданию AI-агентов для автоматизации бизнес-процессов. Наши проекты охватывают финансовый учёт, закупки, документооборот, логистику и сервисное обслуживание. Мы помогаем крупным и средним компаниям сокращать ручной труд, повышать скорость и качество операций за счёт интеллектуальной автоматизации.

Кого мы ищем

Мы ищем специалиста с предметной экспертизой в бухгалтерском учёте, финансах или закупках, который хочет перейти в сферу ИТ-аналитики и автоматизации. Опыт работы бизнес-аналитиком НЕ обязателен — мы готовы обучить вас методологиям анализа, моделированию процессов и работе с ИТ-инструментами. Главное — вы досконально понимаете, как устроены бизнес-процессы «изнутри», и можете объяснить разработчикам, что именно нужно автоматизировать и зачем.

Чем предстоит заниматься

  • Обследование процессов: проводить интервью с сотрудниками подразделений (бухгалтерия, финансы, закупки, казначейство, склад), собирать и анализировать первичные документы, регламенты и учётные политики; выявлять рутинные операции, пригодные для роботизации и применения AI-агентов.
  • Моделирование AS-IS / TO-BE: описывать текущие и целевые бизнес-процессы; фиксировать узкие места, потери и дублирование функций .
  • Формирование требований: составлять функциональные и нефункциональные требования, пользовательские истории и технические задания для команды RPA-разработчиков и AI-инженеров.
  • Подбор сценариев автоматизации: совместно с архитектором решений определять, какой инструмент оптимален для задачи — RPA-бот, AI-агент, OCR-модуль, LLM-ассистент или классическая интеграция; оценивать потенциал эффекта (сокращение времени, снижение ФОТ, уменьшение ошибок).
  • Участие во внедрении и тестировании: ставить задачи разработчикам, участвовать в спринтах, проводить приёмочное и бизнес-тестирование роботов и AI-агентов на реальных данных.
  • Оценка экономического эффекта: рассчитывать ROI, TCO и срок окупаемости автоматизированных процессов; готовить отчёты и презентации для заказчика и руководства.
  • Документирование и обучение: вести проектную документацию, писать пользовательские инструкции, обучать сотрудников работе с внедрёнными решениями, поддерживать базу знаний в Confluence.

Обязательные требования

  • Коммуникация и аналитическое мышление: умение структурировать информацию, задавать правильные вопросы, переводить «язык бизнеса» на «язык ИТ» и обратно.

Будет преимуществом

  • Опыт автоматизации «своего» участка: если вы сами настраивали отчёты в 1С, писали макросы в Excel, внедряли ЭДО или участвовали в проектах цифровизации — это огромный плюс.
  • Знакомство с AI-инструментами: опыт использования LLM, OCR-сервисов, AI-ассистентов в рабочих задачах.

Чему мы готовы обучить

Мы понимаем, что переход из предметной области в ИТ-аналитику — это шаг, требующий поддержки. Поэтому мы берём на себя обучение по следующим направлениям:

  • Методологии бизнес-анализа.
  • Моделирование процессов для задач автоматизации.
  • Основы RPA и архитектуры AI-агентов.
  • Расчёт ROI, TCO и построение финансовых моделей автоматизации.
  • Техники интервьюирования и фасилитации воркшопов с заказчиком.

Условия и социальный пакет

  • Официальное трудоустройство по ТК РФ с первого рабочего дня в аккредитованную ИТ-компанию.
  • Полностью белая заработная плата: оклад + ежеквартальная премия по результатам проектов.
  • График 5/2, гибкое начало дня (9:00–10:00), сокращённые предпраздничные дни.
  • Формат работы: офис/гибрид/удаленный.
  • ДМС со стоматологией после 6 месяцев работы.
  • Профильное обучение.
  • Реальные перспективы роста: от аналитика до ведущего консультанта или руководителя направления автоматизации. Есть возможность перехода в разработку.
  • Участие в проектах для крупных заказчиков из реального сектора экономики.
  • Комфортный современный офис.
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T

Automation & AI Adoption Teaching Expert

tripletenНа сервисе с: 03.10.26 19:59
Зарплата не указанаСШАУдалёнка
Description

Nebius Academy designs hands-on learning experiences that help professionals move beyond individual AI productivity. Our programs enable learners to redesign real workflows around AI and agents, scale these practices across teams, and adopt AI safely and responsibly when it affects decisions or sensitive processes.

We are looking for an experienced automation and AI adoption practitioner to join us as a Subject Matter Expert and Course Author. You will transform your hands-on experience into practical learning content, including frameworks, real-world case studies, reusable templates, exercises, and methodologies that professionals can apply to their own workflows.

What you will do
  • Design and author the course curriculum as a subject-matter expert.
  • Work with the course team to shape module outlines, lessons, practical exercises, and competency-based learning outcomes.
  • Build and refine case studies, templates, and checklists that participants can reuse in their own processes.
  • Translate real AI and automation implementation experience into clear, practical learning frameworks.
  • Review course materials for technical accuracy and practical relevance.
  • Where live delivery is included, facilitate sessions and provide structured feedback on participants’ workflow redesign, scaling, and control decisions.
  • Keep the course current as automation tools, agent practices, and AI adoption and control standards evolve.
Requirements

Must Have

  • 5+ years of hands-on experience in automation, process engineering, or a comparable role involving the redesign of real workflows around AI or agents—not only the use of AI as a personal productivity tool.
  • Practical experience taking an AI or automation pilot through the full lifecycle: scoping it, documenting the practice, enabling other people to adopt it, and measuring whether it created meaningful business value.
  • Practical experience introducing guardrails around AI-assisted work, such as QA processes, human accountability, review boundaries, or domain-specific controls.
  • Hands-on experience with agent or workflow automation tools such as n8n, Make, Zapier, or comparable platforms.
  • Experience driving AI or automation adoption across teams or organizations, including measuring value and communicating it to stakeholders.
  • A solid understanding of where full automation is and is not appropriate, with the ability to explain and defend that judgment.
  • Excellent communication and knowledge-structuring skills, with the ability to turn technical decisions into frameworks that non-technical professionals can apply.
  • Fluency in written and spoken English.
  • Availability to collaborate within European time zones.

Nice to Have

  • Deep hands-on expertise in the Gemini ecosystem, particularly Gems, Workspace Studio automations, and NotebookLM.
  • Experience working with AI and automation in a corporate Google Workspace environment.
  • Experience authoring courses, playbooks, technical documentation, or structured enablement materials.
  • Experience conducting workshops, webinars, corporate training, or other knowledge-sharing sessions.


What we can offer you
  • Remote, part-time collaboration under a service agreement.
  • A workload of approximately 10–15 hours per week.
  • Compensation of $40–100 per hour.
  • An opportunity to shape a practical course focused on real AI and automation adoption challenges.
  • The ability to translate your professional experience into reusable frameworks and learning experiences for business professionals.
  • Close collaboration with the Nebius Academy course team.
  • The opportunity to influence how organizations redesign workflows, scale AI practices, and introduce responsible controls.
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