Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization.
Responsibilities:
Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API,
Claude.ai
, Claude Code)
Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite
Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers
Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT)
Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies
Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks
Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies
Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption
Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales
Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise
Conduct regular 1:1s, performance reviews, and career development planning for direct reports
Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development
Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio
Develop customer advocacy programs including case studies, testimonials, and reference architecture development
Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions
You may be a good fit if you have:
7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience
Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies
Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team
Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values
Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures
Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings
Strong executive presence and ability to represent Anthropic with customer technical and business leaders
Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes
Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning
Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes
Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs
Track record of achieving team targets for expansion, retention and customer satisfaction
Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC
Ищем разработчика, который поможет выстроить тестовую инфраструктуру мобильного приложения Holisto и сделать разработку быстрее и стабильнее. Приложение уже имеет рабочую версию V3 на Flutter, которая тестируется на первых пользователях. В планах выпуск V4 с улучшениями по результатам beta-тестов и V5 для публичного запуска. Задача — работать с уже существующим продуктом, обеспечивая, чтобы новые изменения не ломали уже работающие функции.
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в тест-кейсы
— писать Flutter-тесты
— постепенно покрывать критические пользовательские сценарии golden и E2E тестами
— подключать тесты и покрытие к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их обнаружат beta-пользователи
— тестировать AI-функции Holisto, развивая подход к автоматическому тестированию LLM
Особенность: значительная часть разработки автоматизируется через AI-агентов, тест-кейсы служат машинопроверяемыми контрактами, которые помогают выявлять ошибки до релиза.
Требования:
— знание Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E тестирования
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость, можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможность перехода на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Дополнительно приветствуется опыт работы с CI/CD, использование AI-инструментов в разработке, наличие GitHub / pet-проектов / примеров кода.
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным фичам
— превратить основные сценарии в test cases
— писать Flutter-тесты
— постепенно покрывать критические user flows golden и E2E тестами
— подключать тесты и coverage к CI
— ловить regressions между V3 - V4 - V5
— находить edge cases до того, как их находят beta users
— тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM
Требования:
— Dart / Flutter на уровне «читаю чужой код и могу самостоятельно написать тест»
— базовое понимание unit / widget / integration / E2E testing
— умение точно формулировать требования
— внимательность к мелочам
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые фичи
— коммерческий опыт не обязателен
Условия:
— удалённая работа, частичная занятость (part-time)
— можно совмещать с учебой или основной работой
— формат и мотивацию обсуждаем отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в уже зарегистрированной Delaware-компании
— возможен переход на оплачиваемый формат при хорошем результате
— роль может постепенно вырасти вместе с engineering-командой Holisto
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в test cases
— писать Flutter-тесты
— постепенно покрывать критические user flows golden и E2E тестами
— подключать тесты и coverage к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их находят beta users
— тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM
Требования:
— Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E testing
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможен переход на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Особенности:
— значительная часть разработки автоматизируется через AI-агентов
— тест-кейсы являются машинопроверяемыми контрактами
— поддержка тимлида, помощь с погружением и review каждого PR
Дополнительно:
— приветствуются примеры кода, GitHub, pet-проекты
— в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту
Задачи:
— разобраться в существующем коде и логике V3
— восстановить требования по уже реализованным функциям
— превратить основные сценарии в test cases
— писать Flutter-тесты
— постепенно покрывать критические user flows golden и E2E тестами
— подключать тесты и coverage к CI
— ловить регрессии между версиями V3, V4, V5
— находить edge cases до того, как их находят beta users
— тестирование AI-функций Holisto, развивать подход к автоматическому тестированию LLM
Требования:
— Dart / Flutter на уровне чтения чужого кода и самостоятельного написания тестов
— базовое понимание unit, widget, integration, E2E testing
— умение точно формулировать требования
— внимательность к деталям
— интерес к AI / LLM и современной разработке
— желание разбираться в существующем продукте, а не только писать новые функции
— коммерческий опыт не обязателен, важна хорошая база и способность быстро разбираться
Условия:
— удалённая работа, частичная занятость (part-time), можно совмещать с учебой или основной работой
— формат и мотивация обсуждаются отдельно в зависимости от опыта и уровня вовлечённости
— возможно получение доли в зарегистрированной Delaware-компании
— возможен переход на оплачиваемый формат при хорошем результате
— роль может вырасти вместе с engineering-командой Holisto
Особенности:
— значительная часть разработки автоматизируется через AI-агентов
— тест-кейсы являются машинопроверяемыми контрактами
— поддержка тимлида, помощь с погружением и review каждого PR
Дополнительно:
— приветствуются примеры кода, GitHub, pet-проекты
— в отклике желательно указать опыт с Dart / Flutter, виды тестов, опыт с CI/CD, используемые AI-инструменты, время, готовое уделять проекту
Location: India
Workplace: Remote
We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines.
You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES:
- Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule.
- Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion.
- Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn.
- Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies.
- Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined.
This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions.
QUALIFICATIONS:
- Registration: Registered radiologist in your country of practice with active license
- Experience: 3–10 years' experience in radiology, with a chest/thoracic focus
- Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT.
- Attention to detail: Proven accuracy and consistency in image review or measurement work.
- Technical proficiency: Comfortable using structured annotation tools and digital platforms.
- Prior imaging annotation experience is an advantage but not required.
- Language: Native or near-native written English.
LEGAL STATUS:
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate, paid weekly.
- Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.
Location: USA
Workplace: Remote
We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines.
You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES:
- Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule.
- Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion.
- Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn.
- Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies.
- Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined.
This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions.
QUALIFICATIONS:
- Registration: Registered radiologist in your country of practice with active license
- Experience: 3–10 years' experience in radiology, with a chest/thoracic focus
- Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT.
- Attention to detail: Proven accuracy and consistency in image review or measurement work.
- Technical proficiency: Comfortable using structured annotation tools and digital platforms.
- Prior imaging annotation experience is an advantage but not required.
- Language: Native or near-native written English.
LEGAL STATUS:
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate, paid weekly.
- Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.
Location: United Kingdom
Workplace: Remote
We are seeking radiologists with a chest/thoracic background to carry out structural annotation on de-identified chest CT scans, with a focus on spatial accuracy and consistency against detailed annotation guidelines.
You will work asynchronously on a dedicated annotation platform, marking points, boxes and measurements on findings that have already been flagged upstream, to support the development of clinical AI imaging models.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES:
- Click-point placement: Mark specific coordinates on a scan, such as the centre of a nodule.
- Bounding boxes: Draw boxes around defined regions of interest, such as a flagged lesion.
- Simple measurements: Record diameter, or distance between two marked points, on segmentations or polygons already drawn.
- Guideline application: Work to an annotation guideline covering placement conventions, boundary definitions and measurement rules, applied consistently across a large volume of studies.
- Edge case handling: Flag ambiguous cases with a short rationale so guidance can be refined.
This is structural markup project with no interpretation required. You will not be reading scans for diagnosis, judging malignancy, or making clinical decisions.
QUALIFICATIONS:
- Registration: Registered radiologist in your country of practice with active license
- Experience: 3–10 years' experience in radiology, with a chest/thoracic focus
- Knowledge: Strong grounding in thoracic anatomy and cross-sectional CT.
- Attention to detail: Proven accuracy and consistency in image review or measurement work.
- Technical proficiency: Comfortable using structured annotation tools and digital platforms.
- Prior imaging annotation experience is an advantage but not required.
- Language: Native or near-native written English.
LEGAL STATUS:
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate, paid weekly.
- Professional Development: Hands-on experience in clinical AI development and medical imaging, shaping how AI systems localise and measure findings on CT.
Location: Brentwood, NY 11717
📍
Location:
Brentwood, NY
🕒
Schedule:
Tuesday, Wednesday, and Friday, 4:00 PM – 8:00 PM
🏠
Setting:
1:1 in-home ABA therapy
About the role
LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brentwood. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
🗣️ Fluent in Spanish
✅ RBT experience required
✅ Comfortable working with challenging behaviors
✅ Patient, dependable, and supportive
✅ Availability for the scheduled hours
What we offer
💰 $25–$30 per hour, based on experience
📩
Apply today to be considered.
Location: Spain, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary and a variable component 📈
Benefits:
Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies.
Balance:
Flexible hours, Total work from home possible anywhere in Spain 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: London, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on.
As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world.
This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production.
Responsibilities:
Maintain and improve the encoding libraries used by engineers and researchers across Anthropic
Run experiments to determine the optimal way to feed structured data into Claude without confusing it
Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users”
Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production
Optimize encoding performance across the systems that depend on these libraries
You may be a good fit if you:
Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs
Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments
Have experience carrying out complex refactors in large codebases
Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Care about the societal impacts of your work
Strong candidates may also have experience with:
Tokenizers or other text/data encoding systems
Maintaining a widely-used library over a long period of time
Performance optimization
Python and/or Rust
Reinforcement learning or model training infrastructure
Representative projects:
Working with a research team to ship a new multimodal data type (audio, video, etc) to production
Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Berlin, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits:
Work From Home perks, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, Total work from home possible anywhere in Germany 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Remote - European Region
Workplace: hybrid
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Responsibilities
Own the product strategy and roadmap for an institutional crypto infrastructure business, working closely with the Founder and leadership team.
Act as a strong product and market counterpart to the Founder: challenge assumptions, develop independent points of view, and support product decisions with market evidence, customer insights, and data.
Identify opportunities, move fast to test them, launch what works, skip what doesn't
Lead products from 0→1 — from identifying the market problem and defining the proposition through MVP, first customers, commercial launch, and iteration.
Translate complex technical infrastructure into products that solve real institutional customer needs and have a clear commercial model.
Make informed product and architecture trade-offs involving technologies such as MPC, multi-signature, HSM, private key management, and blockchain infrastructure.
Develop a strong understanding of the competitive landscape across custody technology providers, regulated custodians, prime brokers, liquidity providers, and institutional trading infrastructure.
Own the commercial side of product decisions, including pricing, revenue models, unit economics, market sizing, and business cases for new products.
Work closely with enterprise customers and commercial teams to understand institutional requirements, validate product-market fit, and support complex sales and integration cycles.
Incorporate regulatory and compliance requirements into product architecture, workflows, customer experience, operating models, and go-to-market strategy.
Build the initial product team and operating model, including hiring the first key team members, defining responsibilities, and establishing effective product processes.
Partner closely with Engineering, Compliance, Sales, Operations, and other functions to take products from concept to production and commercial adoption.
Define product KPIs and use customer, market, product, and commercial data to evaluate performance and prioritize investment.
Requirements
Market + tech depth (Strong general product management experience without relevant domain depth will not be sufficient)
Experience in senior B2B product roles, with significant experience in fintech, digital assets, or crypto infrastructure.
Deep knowledge of the institutional crypto market and its underlying technology. Strong general product management experience without relevant domain depth will not be sufficient.
Demonstrated experience personally building at least one product from 0→1, from an initial market problem or idea through launch, customer adoption, and/or revenue.
Deep expertise in at least one of the following areas:
Digital asset custody and private key management
Liquidity management and prime brokerage
Blockchain payment infrastructure
Tokenization and settlement
Strong understanding of institutional crypto infrastructure and the differences between technology providers, regulated custodians, prime brokers, liquidity providers, and trading technology platforms.
Technical fluency sufficient to discuss architecture and product trade-offs around MPC, multi-signature, HSM, wallet infrastructure, and private key management with senior engineers and technical leadership.
Experience building B2B products for institutional or enterprise customers, including complex integrations and long enterprise sales cycles.
Hands-on experience operating in a regulated environment where regulatory or compliance requirements materially influenced product decisions.
Familiarity with relevant regulatory frameworks such as MiCA, DORA, the Travel Rule, VQF, PCI DSS, or comparable frameworks.
Experience building a product team or new product function from scratch, ideally including hiring the first 3–5 team members and establishing the initial operating model.
Strong commercial mindset with hands-on experience in pricing, revenue models, unit economics, market sizing, and product monetization.
Ability to combine technical understanding, customer insight, market knowledge, and commercial data to make clear product decisions.
Comfortable operating with a high degree of ownership and ambiguity in a founder-led environment.
Strong communication and stakeholder management skills, with the confidence to challenge senior stakeholders and defend a point of view with evidence.
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: European Union
Workplace: Remote
ABOUT PLAYSON
Playson builds premium casino games and platform solutions for operators worldwide. Our products reach millions of players across regulated markets, and we ship frequently - which means our certification and compliance evidence has to be as well-engineered as the games themselves.
We are hiring a Software Developer, Compliance, to own that engineering: a pipeline that lets us ship faster and safer, and a defence of the platform and the games that holds up in front of a lab, an ISO assessor, and a future SOC 2 auditor.
About the role
You are a software developer sitting inside compliance. You will build and continuously evolve a secure compliance pipeline so we can ship games and platform changes faster and safer - and you will be the technical person who defends what we shipped when an auditor, a certification lab, or a regulator asks.
The scope is not games alone. You will stand in front of game certification labs, and you will also defend the platform: ISO certification of our systems and the evidence work that leads into a future SOC 2 audit. In every case, the job is the same. You produce the proof. You walk the auditor through it. You answer the question that was asked, with the evidence that was requested, and you stop there.
You will own the technical side of game certification. You take a game math package from the review channel to the lab, you produce the evidence the lab needs - build hashes, PAR sheets, configuration snapshots, version manifests - and you answer the lab's technical questions yourself, without a developer sitting next to you. When a certificate comes back, you are the person who confirms every deficiency is closed before the game is allowed past the pre-release gate.
Between lab submissions, you treat the pipeline as a product. Manual evidence collection, one-off screenshots, and tribal knowledge are the things you replace. You automate controls, tighten the audit trail, and shorten the path from "ready to ship" to "ready to show an auditor" without weakening the bar. Faster and safer at the same time is the point of this role - not one at the expense of the other.
WHAT WE'RE LOOKING FOR
- You are a developer first. 3+ years writing production code, comfortable reading someone else's codebase and forming your own opinion about what it does. You are not a documentation coordinator who learned some technical words
- Strong Node.js and TypeScript. Our game math packages, engine integration, rules and bets migrations, test suites, and compliance automation are all JavaScript-side. You will read game math code and verify that what it does matches what we told the lab it does - and you will write the tooling that makes that check repeatable
- You know what it takes to build certified products. You have worked for an iGaming game provider, a lottery, or another business where products require certification. You understand how that shapes development, testing, and releases, and why the code and supporting evidence need to stay aligned.
- You build pipelines, not checklists. You have taken a manual, high-stakes process and turned it into something engineered: automated evidence, versioned artefacts, gates that fail closed
- You can read data and write queries. SQL against a production analytics store, log investigation, understanding a metrics pipeline well enough to tell a real control failure from a broken dashboard
- Composure in front of an auditor. In a lab session, an ISO assessment, or a future SOC 2 walkthrough, you answer the question that was asked with the evidence that was requested. You communicate with auditors and certification labs precisely and factually. You provide complete evidence for the question or control being assessed, avoid speculation, and escalate regulatory interpretations to the Head of Compliance
- You know where your authority ends. When a question moves from technical fact to regulatory interpretation or commercial consequence, you route it to the Head of Compliance instead of improvising
- You write clearly and permanently. Compliance evidence is read years later by people who were not in the room. Your documentation has to survive that
- You are comfortable saying no. You will be the person telling a squad, under release pressure, that their change does not pass the gate. That conversation needs to be calm, specific, and final
- Precise by temperament. You check the version number rather than remembering it. You are not bored by an audit trail
NICE TO HAVE
- Direct dealings with a certification lab (GLI, BMM, eCOGRA, iTech Labs, or similar) or a gaming regulator
- Hands-on evidence work for ISO 27001, SOC 2, or an equivalent information-security audit
- Understanding of RNG, RTP mathematics, and how statistical certification evidence is produced
- Familiarity with multi-jurisdiction licensing (UKGC, MGA, and regulated EU and LatAm markets)
- Observability and alerting tooling - Datadog or equivalent, including building automation on top of it rather than just reading dashboards
- Experience with change-management controls, audit trails, and segregation-of-duties models
- Incident response experience, particularly where the incident had a regulatory or audit dimension
WHAT YOU CAN EXPECT ON THIS ROLE
- A role with real authority: you hold gate sign-off, and a release does not go past you without it
- Genuine engineering work - you own the compliance pipeline as a product, not a pile of checklists with a technical title
- Direct exposure to certification labs, ISO assessors, and the path to SOC 2 - rare and portable experience
- Close collaboration with math, QA, platform, and SRE across games and the platform
- A compliance function that is being built up deliberately, with room to shape how it works
WHAT WE OFFER
- Competitive Salary
- Quarterly Bonuses
- Unlimited Paid Time Off
- Unlimited Paid Sick Leave
- Remote & Flexible Working
- Private Medical Insurance
- Financial Support for Life Events
- Professional Development Budget
- International Exposure
- Regular Company Events
*Benefits may vary depending on location and contractual agreement
Join us today!
By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.
Location: Paris, Remote
Workplace: remote
Introduction to the Team & Role
What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?
GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.
We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.
You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.
This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy.
Key Responsibility Areas
Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement.
Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself
Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility.
Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems
Set a high bar for documentation, testing and deployment — and hold it without slowing the team down.
Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards.
Drive adoption and change management for new GTM capabilities across distributed teams.
What You'll Do
Within 1 month, you will:
Know the team, the stack, and the cross-functional leaders and teams you’ll partner with.
Understand the main business challenges and opportunities for each GTM function.
Own the team's current quarterly objectives and the routines that keep them visible.
Within 3 months, you will:
Have audited one GTM function end to end and shipped a first AI use case with its business owner.
Have a first GTM AI roadmap, agreed with the stakeholders and the team.
Have taken one major cross-functional change from plan to done.
Have mapped your functional scope end to end and shipped a first AI use case with its business owner.
Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan.
Within 6 months, you will:
Have each team member working from a roadmap you challenged and helped build.
Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch.
Within 12 months, you will:
Show, in numbers, the capacity the commercial organization reinvested because of what the team built.
Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member.
The Skill Set
Must have
GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language.
4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders.
You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't.
A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases.
You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people.
You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook.
Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine.
Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly.
Have enough technical judgment to challenge an architect's design, without owning the architecture yourself
Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care.
Fluent English (US/UK) / B2 level or equivalent (FR).
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
Nice to have
Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors.
Deep expertise in Salesforce or marketing automation tools.
A background in RevOps or GTM operations.
Experience managing or coaching a team.
What We Offer
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process
Call with the Talent Acquisition Manager
Discovery Interview with the Hiring Coach (VP of Operations)
Case Study with the Hiring Coach and future Team
Clarification Interview with Future Direct Reports
Convexity Culture Interview
Offer!
Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: New York
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
UiPath’s strongest opportunities often sit between functions. This role helps the CEO and Executive Leadership Team turn those opportunities into focused action.
As Director, Strategic Initiatives in the Office of the CEO, you will lead priority projects, support executive decision-making, and help make sure the company’s strategy translates into measurable progress.
This is a hands-on role for someone who is comfortable moving between analysis, problem-solving, stakeholder management, and execution.
WHAT YOU’LL DO AT UIPATH
- Support the CEO with research, analysis, and preparation for strategic decisions.
- Lead defined enterprise initiatives from problem definition through delivery, working closely with functional leaders and project owners.
- Develop business cases, options and recommendations for growth, operating effectiveness, customer value and transformation priorities.
- Create simple, effective project plans with clear outcomes, owners, timelines, and risks.
- Prepare materials for executive meetings, planning sessions, and strategic off sites.
- Analyze company, customer, and market information to identify insights that should inform leadership decisions.
- Track progress against agreed initiatives and provide clear updates on outcomes, blockers, and decisions required.
- Help improve cross-functional ways of working, ensuring decisions are communicated and acted on.
- Take on special projects for the CEO’s office as business needs to evolve.
WHAT YOU’LL BRING TO OUR TEAM
- 7+ years of experience in management consulting, corporate strategy, business operations, strategic finance or a related role.
- Management consulting experience is preferred, particularly where it included structured problem-solving, senior client exposure and delivery of complex transformation work.
- Product and technical fluency: Strong working understanding of enterprise software platforms, product development, and AI. Able to understand UiPath’s platform end to end, engage credibly with Product and Engineering leaders, and translate technical concepts, priorities and trade-offs into clear CEO-level decisions and communication
- Experience in enterprise software, SaaS, AI or another fast-moving technology environment is desirable.
- Strong analytical skills and the ability to turn data and qualitative input into a clear story.
- A practical, delivery-oriented mindset. You are comfortable owning the details while keeping sight of the bigger picture.
- Strong stakeholder management skills and confidence working with senior leaders.
- Clear, concise writing and presentation skills.
- Curiosity, humility, and the judgement to know when to push for a decision and when to seek more input.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role overview
We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving.
The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle.
This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery.
Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making.
The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges.
Responsibilities
Design Systems, Figma & Early Product Quality
- Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase.
- Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation.
- Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability.
- .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions.
- Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start.
- Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written.
- Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements.
Localisation Quality & Testing
- Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing.
- Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed.
- Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality.
- Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions.
- Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release.
Software Engineering & Technical Solutions
- Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency.
- Build scalable software solutions that support validation of product experiences across design, development, and release stages.
- Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support.
- Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices.
- Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate.
Automation, Tooling & Process Improvement
- Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows.
- Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows.
- Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools.
- Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams.
- Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams.
Cross-Functional Leadership
- Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals.
- Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations.
- Influence teams toward a shift-left, design-led quality approach.
- Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early.
- Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices.
- Promote a culture of innovation, technical excellence, and continuous improvement.
Qualifications
Education
BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience.
Experience
- 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles.
- Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges.
- Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation.
- Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility.
- Practical understanding of localisation and internationalisation principles in digital products.
- Experience with localisation quality or testing across multilingual products, platforms, or regions.
- Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java.
- Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools.
- Experience with APIs, structured data, system integrations, and modern software development practices.
- Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence.
- Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models.
Soft Skills
Excellent written and verbal communication skills.
Strong product thinking and problem-solving ability.
Comfortable operating across design, engineering, product, and localisation domains.
Self-motivated, adaptable, and effective in a fast-paced environment.
Strong organisational and stakeholder management skills.
Desired qualifications
Experience with Figma design systems, component libraries, and design-to-development workflows.
Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions.
Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases.
Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration.
Familiarity with multilingual product development, translation workflows, or international launch readiness.
Experience in video games, consumer technology, digital entertainment, or large-scale product environments.
Fluency in one or more non-English languages is a plus.
What We Offer
The opportunity to shape next-generation quality, localisation, and design-to-development practices.
A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive.
Competitive compensation, performance bonuses, and comprehensive benefits.
Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.