Location: Belarus
The Opportunity
Flosum is looking for a visionary Senior Product Manager who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
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:
$270,000
—
$345,000 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.
Задачи:
— Разработка и поддержка веб-приложений на платформе .NET / .NET Core в финтех-проекте.
— Взаимодействие с аналитиками и участие в проработке требований.
Требования к кандидату:
— Опыт коммерческой разработки веб-приложений на платформе .NET / .NET Core от 4 лет.
— Уверенное понимание внутренних механизмов платформы .NET: Memory Management, GC, async/await, многопоточность, оптимизация производительности.
— Опыт работы с реляционными базами данных (PostgreSQL) и ORM: Entity Framework Core, желательно знание Dapper.
— Опыт работы с системами контроля версий (Git / GitLab).
— Опыт работы с брокерами сообщений (RabbitMQ, Kafka или аналогичными).
— Опыт настройки CI/CD (GitHub Actions, GitLab CI, TeamCity, Drone или другие).
— Навыки написания поддерживаемого кода и покрытия его тестами (Unit / Integration / API).
— Опыт взаимодействия с аналитиками и участия в проработке требований.
— Опыт работы в распределенной команде.
— Проактивность, ответственность, самоорганизованность, нацеленность на результат, инициативность.
— Понимание Binary Release Management, Scrum/Kanban.
— Желательный опыт: финтех, банки, биллинг, телеком.
Условия:
— Проектная занятость на 6-7 месяцев.
— Локация и гражданство: только РФ.
— Просьба высылать резюме в формате docx.
Задачи:
— Разработка и поддержка backend-сервисов на Node.js
— Построение REST API
— Работа с фреймворком Fastify
— Интеграции с внешними API и сервисами
— Проектирование архитектуры сервисов
— Оптимизация производительности и масштабируемости
— Работа с базами данных (SQL/NoSQL)
— Участие в code review и обсуждении технических решений
Требования:
— Возраст от 23 лет
— Опыт разработки на Node.js от 2+ лет
— Опыт работы с Fastify (или Express + готовность перейти)
— Понимание асинхронности (Event Loop, Promises, async/await)
— Опыт работы с REST API
— Знание SQL (PostgreSQL / MySQL) или NoSQL (MongoDB)
— Понимание принципов SOLID, DRY, KISS
— Опыт работы с Git
— Базовое понимание Docker
— Будет плюсом: опыт работы с микросервисной архитектурой, опыт работы с очередями (RabbitMQ, Kafka), знание TypeScript, опыт написания тестов (Jest, Vitest), опыт работы с CI/CD
Условия:
— Формат: удаленно
— Гибкий график
О ПРОЕКТЕ
Chrona agency ищет эксперта в инфраструктурную Web3-платформу, обслуживающую десятки тысяч блокчейн-нод в 120+ сетях (Ethereum, Solana, Cosmos и др.). Мы обеспечиваем 99.99% uptime для валидаторов и RPC-узлов, используя non-custodial модель.
ОСНОВНЫЕ ЗАДАЧИ
— Развертывание и эксплуатация блокчейн-нод различных типов (Validator, Archive, RPC).
— Обеспечение отказоустойчивости и минимального latency в геораспределенной инфраструктуре.
— Настройка мониторинга, алертинга и систем глубокой аналитики производительности.
— Автоматизация процессов обновления сетей и деплоя инфраструктурных компонентов.
— Работа с сетевой архитектурой (L2/L3) и оптимизация ресурсов кластеров.
— Применение SRE-практик для контроля SLA/SLO и планирования мощностей.
ТРЕБОВАНИЯ К КАНДИДАТУ
— Глубокий коммерческий опыт эксплуатации блокчейн-инфраструктуры.
— Экспертные знания Kubernetes в production-средах.
— Опыт работы с Terraform, Ansible и инструментами CI/CD (GitLab / GitHub).
— Уверенное владение стеком мониторинга: Prometheus, Grafana, Alertmanager.
— Глубокое знание Linux (Debian / Ubuntu) на системном уровне.
БУДЕТ ПРЕИМУЩЕСТВОМ
— Опыт работы с высоконагруженными RPC-сервисами.
— Понимание архитектур Proof-of-Stake (PoS) и механизмов консенсуса.
— Навыки построения отказоустойчивых кластеров в распределенной среде.
УСЛОВИЯ РАБОТЫ
— Полностью удаленный формат и отсутствие бюрократии.
— Выплаты в USDT согласно рыночной вилке.
— Возможность прямого влияния на архитектуру и масштабирование платформы.
— Работа в сильной инженерной команде с фокусом на результат.
Location: Amsterdam, Netherlands; Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for
an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development.
The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles.
The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations.
Your responsibilities will include:
Cybersecurity Architecture
Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles.
Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives.
Translate threat models, business requirements, and risk assessments into practical security controls.
Establish security-by-design principles across cloud, infrastructure, application, and platform architectures.
Identify architectural security gaps and drive remediation roadmaps.
Kubernetes and Cloud-Native Security
Design and implement security architectures for Kubernetes-based environments and cloud-native platforms.
Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications.
Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management.
Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity.
Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments.
Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable.
Establish security controls for container orchestration platforms across development, testing, and production environments.
Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads.
Cloud Infrastructure Security
Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments.
Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management.
Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement.
Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies.
Ensure alignment with organizational security requirements and relevant industry standards.
Secure Development and DevSecOps
Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations.
Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines.
Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning.
Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls.
Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery.
Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams.
Security Engineering and Risk Management
Develop technical security standards, architecture patterns, and security control baselines.
Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews.
Define security requirements for identity, access, data protection, network security, workload isolation, and observability.
Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness.
Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit.
Track security findings and drive measurable improvements in the organization’s security posture.
Team Leadership and Collaboration
Lead, mentor, and develop a team of cybersecurity architects and security engineers.
Define team strategy, technical priorities, delivery plans, and measurable performance indicators.
Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders.
Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership.
Foster a culture of engineering excellence, automation, accountability, and continuous improvement.
We expect you to have:
7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture.
3+ years of experience managing technical teams or leading senior technical professionals.
Strong practical knowledge of Kubernetes architecture and container security in production environments.
Demonstrated experience securing cloud-native workloads and distributed systems.
Strong expertise in AWS and/or Microsoft Azure security architecture.
Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security.
Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries.
Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection.
Practical experience with Infrastructure as Code and automated security controls.
Experience securing CI/CD pipelines and integrating security into software development processes.
Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies.
Proven ability to influence engineering teams and translate security requirements into scalable technical solutions.
Excellent communication skills in English.
Key Success Metrics
Improved security posture and reduced attack surface across Kubernetes and cloud environments.
Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities.
Increased adoption of secure-by-design architecture patterns across engineering teams.
Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning.
Reduced time to remediate critical security findings.
Consistent implementation of Kubernetes and cloud security baselines.
Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams.
Development of a high-performing cybersecurity architecture team.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Singapore
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Note:
We are only considering applications from candidates currently based in Singapore.
We are looking for a
Senior Software Engineer (Golang)
to join our
Platform team
. Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs.
You will also be expected to:
• Design, build, and maintain Go microservices with a focus on correctness and reliability.
• Implement business logic and enterprise-quality standards across the platform.
• Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met.
• Contribute across all phases of the development lifecycle.
• Write well-designed, testable, and efficient code.
• Evaluate and propose improvements to existing systems.
Product & Technology Context:
Strong web development background, with experience building user-facing products — including UI, business logic, and integrations with external APIs.
Product-minded engineering experience: you understand how technology ties back to user and business needs, not just infrastructure.
Track record of shipping user-facing business features across product platforms, developer experience platforms, or other customer-facing surfaces.
Solid production experience — typically 7+ years — with the depth and maturity to build and support systems in production.
Clear understanding of how web applications work end-to-end, and how the different pieces fit together to deliver a product or business outcome.
Depth and consistency in technical background — we value engineers who've built real expertise over time, rather than hopping across many different stacks.
Our core platform is a Ruby on Rails monolith, with some Go services handling more focused functions alongside the Ruby/monolith team. Experience with these is a plus, but we care most about strong engineering fundamentals and product experience.
This role isn't primarily ML/LLM-focused, so candidates whose recent experience has been mostly in ML/LLM work may not be the strongest fit here.
Required
• 7+ years of industry experience in software engineering.
• Solid experience with Go on the backend (2+ years).
• Good debugging, analytical, and problem-solving skills.
• Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc..
• Experience working with distributed systems.
• Familiarity with version control (Git) and CI/CD practices.
Nice to Have
• Experience with Ruby on Rails.
• Experience building B2B systems.
• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.).
• Experience with third-party REST APIs at scale (request throttling, batch processing, etc.).
• Contributions to open-source projects.
Soft Skills / Personal Characteristics
• Readiness to work with teams distributed across multiple timezones.
• Strong spoken and written English.
• Curiosity and openness toward new technologies; willingness to experiment.
• Ownership mindset — comfortable taking features from design through to production and maintenance.
REQ ID: 2423
Location: Palo Alto, California
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We’re hiring a
Director of Product Management
to lead Workato’s
Platform, Security, and Enterprise Readiness
strategy.
This is a high-impact role focused on building the
foundation that unlocks enterprise adoption at scale
—from secure deployments and governance to compliance, observability, and global infrastructure.
You will define how large, regulated, and global organizations confidently adopt Workato for mission-critical workloads.
This role sits at the core of Workato’s next phase of growth.
You will unlock new enterprise and regulated markets by building platform capabilities that meet stringent security and compliance requirements.
You will eliminate platform-level deal blockers that slow down or prevent large enterprise adoption.
You will accelerate onboarding and time-to-value for customers adopting Workato at scale.
You will enable customers to confidently run mission-critical workflows on the platform.
In this role, y
ou will also be responsible to:
Identity, Access & Security
You will define and scale authentication capabilities, including SAML, SCIM, 2FA, and domain management, to support enterprise identity standards.
You will lead the evolution of authorization models, including RBAC 2.0 and fine-grained access controls across projects and shared assets.
You will drive secure credential management through integrations with enterprise secrets and vault systems such as AWS, Azure, and HashiCorp.
You will ensure strong platform security through encryption, data retention controls, and IAM-based access mechanisms.
Enterprise Governance
You will build governance models that enable centralized control across distributed teams using AHQ and multi-workspace management.
You will define and enhance environment lifecycle management to support Dev, Test, and Prod workflows aligned with enterprise SDLC practices.
You will deliver the Enterprise Command Center as a unified control plane for visibility, governance, and capacity planning across the platform.
Ensure AI features ship with the same security posture as core platform capabilities
Observability & Auditability
You will define and scale platform observability, including centralized logging, audit trails, and debug trace capabilities.
You will expand log streaming integrations to SIEM tools such as Splunk, Datadog, and cloud storage platforms.
You will drive adoption of OpenTelemetry standards to enable enterprise-grade monitoring and tracing.
You will enable API traffic monitoring and anomaly detection to strengthen platform security and operational visibility.
Developer Platform & APIs
You will expand developer APIs to enable programmatic management of workspaces, assets, and platform configurations.
You will support enterprise CI/CD workflows through automation of deployments and environment management.
You will define secure and scalable API access models with fine-grained permissions for enterprise use cases.
Infrastructure & Deployment
You will lead the strategy for private cloud deployments, including single-tenant environments within customer AWS networks.
You will drive expansion into new data centers to meet data residency and sovereignty requirements.
You will define and deliver cross-region backup and disaster recovery capabilities for enterprise resilience.
You will ensure AI capabilities are available across regions to support global enterprise adoption.
Compliance & Enterprise Expansion
You will partner with compliance and security teams to support certifications such as SOC2, ISO, PCI, and HIPAA.
You will translate compliance requirements into scalable product capabilities that reduce friction during enterprise onboarding.
You will position compliance and security capabilities as strategic enablers for market expansion and deal acceleration.
Customer Management and Deal Support
Serve as the product leader in enterprise security reviews, Infosec questionnaires, architecture deep dives
Influence customer and prospect CISOs, IT, Compliance and Security leaders at Enterprises procuring Workato platform
Requirements
Qualifications / Experience / Technical Skills
You bring 10+ years of product management experience, with a strong focus on platform, security, or infrastructure products.
You have experience building and scaling enterprise SaaS platforms used by large organizations.
You have deep familiarity with identity and access systems, including SAML, SCIM, and RBAC models.
You understand enterprise security, compliance frameworks, and governance requirements.
You have experience with observability, logging, and audit systems in distributed platforms.
You are comfortable working across engineering, security, infrastructure, compliance, and GTM teams.
You can translate complex enterprise requirements into simple, scalable, and adoptable product experiences.
You are familiar with SIEM tools and SOC workflows.
You have built or managed developer platforms or platform APIs.
You have experience supporting global SaaS deployments across multiple regions.
Experience with taking products through FedRAMP certification is a plus
(REQ ID: 2704)
Location: Limassol, Cyprus; Tbilisi, Georgia
Workplace: hybrid
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
Responsibilities
Design, implement, and maintain backend services for
data storage and enrichment
using
Go
Build and maintain pipelines for processing, validating, and enriching trading data.
Optimize data storage schemas, queries, and performance in
PostgreSQL
.
Collaborate with other engineering teams to integrate services and maintain system reliability.
Participate in architectural discussions and contribute to long-term platform design.
Write high-quality, maintainable, and tested code; review peers’ work.
Support monitoring, troubleshooting, and incident resolution
What makes you the perfect fit
5+ years of professional backend development experience, with strong proficiency in
Go
.
Experience with relational databases, preferably
PostgreSQL
, including schema design, query optimization, and performance tuning.
Strong understanding of data pipelines, batch and near-real-time processing.
Experience designing
fault-tolerant, high-load backend systems
.
Familiarity with distributed systems and microservices architecture.
Excellent problem-solving skills and ability to collaborate with multiple teams.
Will be a plus
Experience with data enrichment, aggregation, or transformation pipelines.
Knowledge of caching layers, indexing, or time-series data storage.
Familiarity with
streaming systems
(Kafka, RabbitMQ, or similar).
Experience in financial/trading domain.
Exposure to cloud environments, containerization, and CI/CD practices.
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Espoo
Workplace: Hybrid
- Title:: Technical Release Manager
- Department: Platform & Release Engineering
- Location: Espoo, Finland
- Reports to: Release Engineering Lead
- Employment type: Permanent
- Workplace model: On-site/Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
The Technical Release Manager owns the end-to-end execution of releases in practice. This role ensures that releases are correctly prepared, executed, validated, and closed across engineering, product, and delivery teams.
The Technical Release Manager is hands-on during release windows, acts as the primary operational contact, and ensures that what was planned is what actually runs in production. This role does not design release tooling or strategy but uses those systems to drive safe and predictable releases
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
KEY DUTIES
(Coordinate → Prepare → Execute → Verify → Close)
- Implement the release process and work closely with the other release representatives to create a seamless release experience for the organization
- Coordinate end-to-end release execution across engineering, product management and delivery and support teams
- Prepare and track release content, configurations, and dependencies to ensure technical readiness
- Execute and support releases, including hands-on post-deployment validation and sanity checks
- Validate release content, configurations, feature flags, and release-specific settings
- Act as the primary operational point of contact during release windows
- Identify, communicate, and escalate execution risks and blockers
- Ensure release outcomes and follow-ups are clearly documented
- Acts as gatekeeper together with QA Manager to make sure the set quality targets have been met
- Owns the feedback loop through the whole release process through to delivery team and facilitate that information back to the product development organization
WHAT ARE WE LOOKING FOR
Core Experience
- 5+ years of hands-on experience in one of the following roles:
Release Manager, DevOps Engineer, Software Developer, or Technical Project Manager
- Direct experience executing releases in a CI/CD-driven environment
CI/CD & Tooling
- Hands-on experience running, monitoring, and troubleshooting releases using GitHub Actions
- Ability to interpret pipeline stages, logs, failures, and test signals
- Experience triggering, re-running, rolling back, and validating pipeline executions
- Working knowledge of Python or scripting to support release execution and operational automation
Release Execution & Coordination
- Experience running release syncs, tracking readiness, and managing cross-team dependencies
- Ownership of release communications and internal release notes
- Comfortable making and coordinating go / no-go decisions within defined criteria
APPLICATION PROCESS
- Hiring Manager Interview
- Technical Task
- Technical Discussion
- Stakeholder Interview
- Final Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Remote, Canada; Remote, United Kingdom; Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
As a Staff Backend Engineer in the
Developer Experience
group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. We’re at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence.
Developer Experience
currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test. This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver. You’ll be instrumental in shaping our engineering culture across GitLab.
This is a highly visible role with strong company-wide support. You’ll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy—backed by buy-in and appetite for change.
Some examples of our projects
Project Examples
In this role, you may lead projects such as:
Internal developer platform adoption:
Build and evolve platform capabilities that make it easier for engineering teams to create, deploy, operate, and scale services on Kubernetes.
Kubernetes-based service onboarding:
Define reusable service templates, deployment workflows, configuration patterns, and operational guardrails for teams adopting the platform.
Developer workflows and test environments:
Build development, CI, and test environments that reflect production Kubernetes behavior — including third-party operators and the custom resources services depend on — sequencing CRD establishment, controller readiness, and dependent workloads so engineers get a working environment rather than a partially reconciled one, across both local and remote clusters.
Platform reliability and observability:
Partner with infrastructure and service teams to improve rollout safety, troubleshooting, service health, resource management, and operational visibility across Kubernetes workloads.
What You'll Do
Lead and grow a team responsible for developer tooling and internal platform capabilities used by engineering teams to build and operate services.
Set and execute a roadmap for Kubernetes-based developer workflows, balancing developer experience, platform reliability, security, and operational efficiency.
Guide the design of reusable onboarding and deployment patterns for services running on Kubernetes, including workloads, networking, configuration and secrets, identity, storage, observability, progressive delivery, and the custom resources and controllers that services depend on.
Make environment bring-up and teardown deterministic — resolving readiness and ordering dependencies between CRDs, controllers, and the workloads that rely on them — so engineers get reproducible environments instead of intermittent failures.
Partner with infrastructure, security, and application teams to turn Kubernetes capabilities into simple, well-supported workflows rather than requiring every service team to become a Kubernetes expert.
Establish engineering standards, documentation, automation, and feedback loops that improve adoption and reduce the time required to bring a service from development to production.
Coach engineers through architectural decisions, incident follow-up, and production operations while maintaining a clear focus on sustainable team delivery.
Represent the team with technical and organizational stakeholders, communicate tradeoffs clearly, and use adoption and reliability measures to guide prioritization.
Take part in on-call or operational support where your team’s ownership model requires it.
What You'll Bring
Deep experience building developer tooling, DevEx platforms, testing frameworks, or CI/CD systems at scale.
Strong hands-on Go experience designing, implementing, testing, and operating production-quality services, command-line tools, automation, or platform tooling. Experience contributing to Ruby-based systems is also valuable for this role.
Practical Kubernetes experience building or operating production workloads and platform capabilities, including deployments, services, networking, configuration and secrets, observability, resource management, and troubleshooting.
Depth in Kubernetes deployment lifecycle: Helm-based deployment and release management, kubeconfig and multi-cluster context handling including deploying into clusters you don't own, and integrating third-party operators and their custom resources (CloudNativePG, cert-manager and similar) into working environments — including the readiness and ordering problems that come with them: waiting on CRD establishment, controller availability, and custom resources reaching their own definition of ready. Experience authoring a controller or operator is useful but not required.
Experience designing scalable solutions that improve engineering productivity, test reliability, development environments, or delivery workflows across multiple teams.
Demonstrated ability to provide technical leadership and influence without authority across engineering, infrastructure, security, and product functions.
Familiarity with DevOps workflows, CI/CD pipelines, release automation, and production operations.
Strong written and verbal communication skills in a remote-first environment.
A product mindset with a passion for empowering developers through simple, reliable, and well-documented workflows.
Alignment with GitLab values, especially collaboration, iteration, and transparency.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$131,600
—
$282,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: The Netherlands; Poland; Portugal; United Kingdom; Spain; Italy; Israel
Workplace: Remote
The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for experienced, hands-on security practitioners, who will drive the adoption of modern security processes and tooling, with focus on automation and backed up by data-driven decisions.
What you will do:
- Secure cloud infrastructure supporting the ClickHouse products and services (AWS, GCP and Azure)
- Collaborate with product and engineering teams to facilitate safe and secure use of public cloud infrastructure and resources
- Develop and implement security systems (e.g. CSPM, infrastructure as code, secrets management) to secure and harden ClickHouse cloud infrastructure
- Identify and respond to identified security issues, vulnerabilities, and incidents
- Identify security gaps and vulnerabilities in ClickHouse assets
- Develop processes, tooling and automation to scale security processes and mitigate risks to the business
What you bring along:
- Strong knowledge of and experience with multiple cloud service providers (AWS, GCP, Azure)
- Experience securing large-scale customer-facing cloud infrastructures based on Kubernetes
- Expertise in common cloud-based DevOps practices (e.g. CI/CD, infrastructure as code, secrets management)
- Development and automation experience
Bonus Points:
- BS, MS, or PhD in Computer Science or related field
- Previous contributions to open source projects
- Security or cloud related certifications (AWS, GCP, Azure)
#LI-JL1
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location:
Calgary, Alberta
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote Portugal, Portugal; Remote Poland, Poland
Workplace: remote
WELCOME TO OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
Join Our Team as an AI-native Staff Backend Engineer!
Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Portugal.
Are you someone who is craving scalable problems and dealing with optimizations?
You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been!
You will play a key role in enabling our organisation to scale efficiently.
Who we are looking for:
You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability.
You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment.
Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed.
Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives.
Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases.
Big-picture thinker: aligns technical decisions with business strategy, influences without authority.
Clear communicator in English across engineering, product, and leadership audiences.
Self-starter who identifies what needs doing and takes initiative without waiting to be asked.
Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise.
What you will be doing:
Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code.
Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints)
Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on.
Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories.
Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined.
Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe.
Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority
Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut.
Our Hiring Process:
Recruiter Interview
Managemnent Capabilities
System Design
Live Coding
Our Benefits
Permanent contract
Salary + annual bonus up to 20% of your annual gross salary
Work with and impact all OLX websites around the world
Train and conference budget, and free access to Udemy courses
Health insurance and life insurance
MacBook Pro or a Windows Dell, along with the necessary accessories to make your work comfortable
100% remote work (and the possibility to work from our office in Lisboa)
If you think this is the role for you, send your application in English and let’s talk!
If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Poland; Colombia; Romania; Brazil; Argentina; Portugal
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
About the Company
Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market (GTM) infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth.
With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a
VP of Automation Engineering
to act as the
foundational technical leader and strategic partner to the CEO
. This is a
hands-on executive role
where you will architect and scale automation systems, build internal products, and lead a high-performing engineering team.
You will operate in an
AI-first environment
, where tools like Claude Code are part of daily development workflows—not optional add-ons.
Key Responsibilities
Automation Architecture & Infrastructure
Own and scale end-to-end automation systems using n8n and API integrations
Architect orchestration layers for complex, multi-client environments
Build resilient systems with monitoring, alerting, and self-healing capabilities
Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure
Product Development
Build internal and client-facing products using Node.js, TypeScript, and modern frameworks
Own the full product lifecycle—from architecture to deployment
Develop scalable automation products and operational dashboards
Establish engineering standards, CI/CD pipelines, and documentation
AI Systems & Intelligence Layer
Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.)
Use Claude Code as a core development accelerator across the team
Build intelligent pipelines for classification, enrichment, and decision-making
Optimize prompt engineering, evaluation systems, and reliability at scale
Leadership & Technical Strategy
Build, manage, and mentor a high-performing engineering team
Define and execute the technical roadmap aligned with company growth
Partner directly with the CEO on product and engineering strategy
Lead sprint planning, prioritization, and delivery execution
Requirements
Non-Negotiable
Deep, production-level experience with
n8n automation systems
Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases)
Proven experience leading engineers while remaining hands-on
Daily, hands-on use of Claude Code in development workflows
Strong working experience with Clay for data enrichment, signal detection, or GTM automation
Experience building and scaling
AI/LLM systems in production
Strong systems architecture thinking (scalability, reliability, fault tolerance)
Executive-level mindset with the ability to align technical decisions with business outcomes
Preferred Experience
Agency or services background with multi-client automation systems
Experience building
SaaS or productized internal tools
Familiarity with tools like
Airtable, HubSpot, Slack APIs, and outbound infrastructure
Experience with
cloud platforms (AWS, GCP, etc.)
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Poland; Ukraine; Romania; Argentina; Portugal; Colombia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure.
Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR.
Job Summary
We’re hiring a
Head of Engineering, GTM Systems
to lead the transition from no-code automation to
Claude Code-powered AI agent architecture
.
This role is for a
hands-on builder
who has deep experience in
Clay-based GTM systems
and is now building scalable, production-grade systems using
Claude Code and modern programming languages
.
You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals.
Key Responsibilities
AI Agent Architecture & Engineering
Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling
Develop scalable backend systems using Python, JavaScript, or TypeScript
Architect integrations across CRMs, APIs, data sources, and outreach platforms
Build reusable agent frameworks, templates, and SDK-like components for rapid deployment
Team Leadership & Engineering Culture
Lead and scale a distributed team of engineers (including offshore talent)
Establish best practices for version control, testing, documentation, and deployment
Mentor automation-focused engineers into AI-agent and software engineering roles
Own hiring, onboarding, and performance management
Platform Development & Innovation
Drive the shift from no-code workflows to code-first AI systems
Evaluate emerging AI tools, LLM capabilities, and automation frameworks
Contribute to internal AI tooling and reusable automation libraries
Prototype and validate new automation opportunities quickly
Systems Reliability & Performance
Ensure system reliability through monitoring, logging, and error handling
Optimize infrastructure for cost, performance, and scalability
Build observability systems to proactively detect and resolve issues
Requirements
Must-Have Experience
Proven experience building
GTM automation systems in production
(e.g., enrichment workflows, API integrations, CRM automation)
Strong understanding of
data pipelines, webhooks, and multi-step automation logic
Hands-on coding experience in
Python, JavaScript, or TypeScript
Experience working with
AI/LLM-powered systems
(prompt design, chaining, context handling)
Deep understanding of
outbound sales workflows and revenue operations
Experience leading or mentoring engineers or technical teams
Preferred Qualifications
Production-level engineering experience with scalable systems
Background in
agencies, consultancies, or multi-client environments
Familiarity with
DevOps practices (CI/CD, monitoring, cloud infrastructure)
Active participation
in automation, AI, or GTM engineering communities
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
seniorHanoi OR Ho Chi Minh City
San Francisco, CA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorSingapore; Readiness to work with teams distributed across multiple timezones
Palo Alto, California
ГибридseniorLimassol, Cyprus; Tbilisi, Georgia; Relocation support and private health insurance
ГибридEspoo
УдалённоRemote, Canada; Remote, United Kingdom; Remote, US; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоThe Netherlands; Poland; Portugal; United Kingdom; Spain; Italy; Israel
seniorГеография найма не уточнена
УдалённоRemote Portugal, Portugal; Remote Poland, Poland; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
УдалённоPoland; Colombia; Romania; Brazil; Argentina; Portugal
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