Location: San Francisco; Palo Alto; London; Seattle; New York City
Workplace: Hybrid
ABOUT THE ROLE
The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.
This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.
KEY RESPONSIBILITIES
- Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.
- Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.
- Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.
- Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.
- Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.
- Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.
- Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Connector runtimes, API platforms, or MCP servers, including authentication and authorization.
- Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.
- Search, ranking, recommendation, or tool discovery systems.
- Marketplaces, developer platforms, or enterprise onboarding and activation experiences.
- Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.
- Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
ГибридSan Francisco; Palo Alto; London; Seattle; New York City
Location: San Francisco; Palo Alto; London; Seattle; New York City
Workplace: Hybrid
ABOUT THE ROLE
The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem.
This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity.
KEY RESPONSIBILITIES
- Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface.
- Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions.
- Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work.
- Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption.
- Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response.
- Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries.
- Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning.
QUALIFICATIONS
- 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation.
- Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries.
- Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes.
- Deep expertise in at least one of the following:
- Connector runtimes, API platforms, or MCP servers, including authentication and authorization.
- Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context.
- Search, ranking, recommendation, or tool discovery systems.
- Marketplaces, developer platforms, or enterprise onboarding and activation experiences.
- Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows.
- Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed.
- A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship.
If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.
Bitrefill is a profitable fintech company operating globally, enabling people to spend crypto on gift cards, mobile top-ups, subscriptions, and bill payments in over 180 countries. The QA team is small, hands-on, and focused on building test automation infrastructure with autonomy and few meetings.
Задачи:
— Авторство и поддержка E2E автоматизированных тестов с использованием Playwright и Maestro.
— Создание регрессионных, smoke и sanity тестов для критических процессов: оформление заказа, платежи, погашение подарочных карт, управление аккаунтом.
— Интеграция автоматического запуска тестов в CI/CD для выполнения при каждом деплое на staging.
— Работа с внутренним инструментом MCP для управления тест-кейсами через API в Qase.
— Поиск и исправление нестабильных тестов, улучшение стабильности и скорости выполнения.
— Сотрудничество с разработчиками для понимания новых функций и преобразования требований в автоматизированное покрытие.
— Участие в планировании тестирования, оценке рисков и принятии решений о том, что автоматизировать, а что тестировать вручную или исследовательно.
Требования:
— Опыт 2-4 года в написании и поддержке E2E автоматизированных тестов.
— Навыки программирования, опыт разработки, применение их в автоматизации тестирования.
— Использование AI-инструментов для написания и отладки тестов.
— Опыт с современными фреймворками автоматизации тестирования (Cypress, Playwright, Selenium и др.).
— Опыт или интерес к мобильной автоматизации (Maestro, Appium, Detox и др.).
— Умение работать в условиях ранних стадий QA, где процессы не фиксированы.
— Владение JavaScript/TypeScript.
— Опыт в backend-разработке и инфраструктуре.
— Опыт тестирования API (REST, валидация запросов/ответов).
— Знание концепций CI/CD и запуска тестов в пайплайнах.
— Понимание рабочих процессов тестирования: кейсы, сьюты, прогоны, отчеты.
Желательно:
— Опыт с Spur или Maestro.
— Опыт с инструментами управления тестами и API (Qase, TestRail и др.).
— Интерес к Bitcoin/криптовалютам или опыт тестирования платежных/финтех продуктов.
— Опыт тестирования e-commerce или маркетплейсов.
Личностные качества:
— Самостоятельность, готовность брать ответственность в небольшой удаленной команде.
— Восприятие нестабильных тестов как задачи для решения.
— Интерес к влиянию AI на QA и желание работать с AI-усиленными процессами.
— Умение писать качественный код автоматизации и стремление к улучшению рабочих процессов.
Location: Remote
Workplace: remote
About Distru
Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack.
We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor.
Get to know the team, our culture and our full benefits at distru.com/careers!
The Role
AI assistants like Claude and ChatGPT are seeing record adoption at work, and they're only as useful as the data they can reach. For our customers, that data lives in Distru. We believe the system of record has never been more valuable, so we're building Distru headless-first: unified access to ERP data, deep MCP and AI assistant integrations, agents embedded in Distru, and a seamless experience between the ERP and the AI tools our customers already use.
You'll own and evolve Distru's AI product suite, including:
MCP: connect AI assistants like Claude and ChatGPT directly to Distru data
Agent Builder: build agents that run inside Distru, with workflow support for multi-step processes
Unified Data Engine: unify ERP and business data into one layer that AI can query and act on
And more…
We're in the early stages, so you'll define the product from the ground up and make strong, opinionated calls on what we build and where it goes next. The AI space moves fast and the specifics will change, so this vision is something you'll mold. You'll report to the executive team and work closely with engineering, design, GTM, and customer success.
What you'll do
Product execution
Gather customer feedback directly and through CS and sales, then deconstruct it into system-level AI features that benefit the wider user base and scale with future additions
Prioritize the roadmap and timeline around the work with the most revenue impact
Write PRDs with thoughtful UX designs, ready for the engineering team to execute on
Product ownership
Own features from inception to release, iteration, and continued maintenance
Define and measure the success of every feature you're responsible for. You are the CEO of every feature you touch.
Own the knowledge base, MCP docs, and go-to-market content for your features, and enable marketing and sales on everything you ship
Cross-functional leadership
Work closely with engineering, GTM, sales, and CS. You're the bridge that pulls insights from every department together and keeps the product moving.
What success looks like at 6 months
You've shipped at least one AI-native feature to production with measurable user adoption
The product team and engineers trust you to write well-thought-through PRDs
You own a part of the Distru product and are the go-to person for it across the company
What we look for
AI fluency
For every AI role, we look for three things:
Tool fluency:
your setup is AI-forward and you have opinions on which tools to use (and not use). You go beyond prompting ChatGPT or Claude and have built your own skills, agents, or workflows.
Workflow fluency:
you can break a PM process into human steps, AI steps, and hybrid steps, and explain what you chose to automate, what you kept human, and why.
Build fluency:
you've shipped AI features that hold up in the real world, with nuanced workflows, different user personas, and users who aren't AI fluent. You know when AI feels natural versus forced, and you can defend the calls you made.
You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it.
Must have
3+ years in product management
Product ownership:
you've owned at least one significant AI feature or product end to end, from an ambiguous problem statement through launch and iteration, with measurable outcomes
UX proficiency:
you've created intuitive products that abstract away complexity for the user, without the need for a designer
Technical fluency:
you're comfortable with engineering concepts such as SQL, telemetry, agentic harnesses, subagents, and RAG
Clear communication:
you convey your thinking briefly and clearly
Tooling:
experience with product management tooling (Notion, Miro, Claude, Hotjar, LangSmith, etc.)
Strong signal
Background in supply chain, ERP, CRM, B2B marketplaces, or accounting
Experience using Claude Code (or similar coding tools) to build products on your own
Familiarity with agentic systems and multi-agent orchestration
Experience in early-stage startups (0–50 headcount)
How we work
We love building with AI.
Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools.
We ship fast.
We expect PMs to be comfortable with the pace of a startup.
We care about edge cases and details.
Our customers' SOPs are nuanced, and details matter when you're handling their inventory and finances.
You'll build on what we've learned.
You'll have access to the team's combined AI knowledge and the processes and skills we've built.
For the full picture of our culture and who thrives here, see
distru.com/careers
.
Benefits
Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru.
Here are a few highlights (exact benefits vary by country and employment type):
Fully remote across 4 continents
Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave
18 days PTO + 11 holidays (sick days don't count toward PTO)
Medical, dental, vision + 401(k) for US employees
The best AI tools available and a generous AI stipend for everything else
Yearly in-person team offsites
Interview process
Intro call (30 min): your background, what you've owned, and the most challenging AI product you've worked on
Product experience (45 min): a deep dive into a complex product you've owned and a PRD you're proud of
AI fluency (30 min): a screen-share show and tell of something you've recently built with AI, and a look at your AI workflow
Product exercise (take-home, 2–4 hours over 2–3 days): turn a set of user requests into a single PRD, working with the team in a shared Slack channel
Exercise review (60 min): walk the team through your decisions, trade-offs, and what comes after the PRD
References and offer
Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world.
#LI-RC1
Where you land in the range depends on your experience and skills.
Location: Hybrid
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 Locations
Austin, US
Atlanta, GA
Denver, CO
Seattle, WA
Toronto, ON
Applications will be accepted until December 01, 2026.
About the Role
Cloudflare operates one of the world's largest and most interconnected networks, spanning 335+ cities across every region of the globe. We are looking for a Senior Network Engineer to join our Edge Network & Backbone team — someone who brings deep operational experience, an AI-first mindset, and the instinct to mentor and lift the engineers around them. In your first year, this role is deliberately hands-on: you'll be in the operational trenches, owning complex faults, driving capacity work, and setting the standard for how we run the network. Beyond that, you'll help shape how the team works — building AI-enabled tooling and agents that reduce toil, accelerate troubleshooting, and make the whole team more effective. This is a North American based role, but you'll be joining one global team: the sun never sets on Cloudflare, and our engineers hand off work across every time zone to keep the network running around the clock.
Responsibilities
Own the technical operation, engineering, and architecture of Cloudflare's global network, including planning, installation, and day-to-day management of hardware and software across the edge and backbone.
Serve as a hands-on operational anchor for the team — diagnosing and resolving complex network faults, owning incident response end-to-end including on-call rotation, and contributing to post-incident reviews to drive continuous improvement.
Build production AI agents for network operations. Design, ship, and own LLM-powered tools that integrate with our operational systems of record via tool calling. Ship them with evals, observability of agent decisions, cost tracking, and human-in-the-loop checkpoints where autonomous action carries blast radius.
Apply AI to accelerate troubleshooting. Use and extend our internal AI platform (Workers AI, AI Gateway) to speed up root cause analysis, pattern recognition across faults, and operational decision-making under pressure.
Architect network improvements that lower latency, reduce packet loss, and increase scale — optimising end user experience across Cloudflare's global infrastructure.
Mentor and develop junior engineers on the team, setting technical standards, conducting structured troubleshooting sessions, and building a culture of operational excellence and continuous learning.
Collaborate with internal teams on cross-functional network projects, contributing to design documentation, SOPs, and knowledge base articles that outlast any individual contributor.
Desirable Skills, Knowledge, and Experience
Proven track record in large-scale network engineering and operations.
Proficiency in Python and/or TypeScript and/or Go sufficient to build, debug, and maintain agent code, not just to glue scripts together.
Working knowledge of agent integration patterns: function/tool calling, MCP or equivalent, retrieval over operational corpora (runbooks, postmortems, change history), and prompt iteration with evals.
Experience reasoning about agent failure modes in production: hallucination guards, fallback paths, rollback, blast-radius control.
Deep expertise in BGP and anycast routing, with the ability to diagnose and resolve complex routing issues in a production environment.
Strong understanding of MPLS and Segment Routing.
Proficiency across multiple network vendor operating systems (Juniper, Cisco, Arista, or similar).
Experience with network automation frameworks such as SaltStack, Ansible, or equivalent, and a strong instinct for solving operational problems through code.
Ability to prioritise effectively and lead calmly when faced with high-pressure scenarios.
An effective communicator who can adapt their style to any audience — whether guiding a junior engineer through a fault or presenting a network architecture decision to senior leadership.
Bonus Points
Shipped LLM-powered tooling into production use by a team other than your own, with measurable operational impact.
Professional-level network certification (JNCIP, CCNP, or equivalent or higher).
Experience with optical transport technologies such as CWDM and DWDM.
Linux system administration.
Experience writing network configuration and design documentation at an architectural level.
Compensation
Compensation may be adjusted depending on work location.
For Colorado based hires: Estimated annual salary of $168,000 - $231,000
Washington, based hires: Estimated annual salary of $172,000 - $237,000.
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
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: Tokyo, Japan
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.
You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.
This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.
This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
- Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
- Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
- Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
- Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem.
- Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments.
- Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers.
- Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
- Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.
SKILLS YOU'LL NEED TO BRING
- 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role.
- Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
- Hands-on experience with APIs and data integration.
- Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
- Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration.
- Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
- A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.
NICE TO HAVES
- Experience working in professional services, preferably in a startup or high-growth environment.
- Experience deploying AI agents autonomously in complex coding or business workflows.
- Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration.
- Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
- Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling.
- Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
- Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
- Strong track record of successful enterprise customer implementations.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link.
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles.
Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required.
IN THIS ROLE YOU WILL
Master the Sentry Ecosystem & Support Elite Developers
- Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
- Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
- Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
- Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes.
Engineer Agentic Operations (The Scaling Engine)
- Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
- Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
- Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.
- The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine."
YOU’LL LOVE THIS JOB IF
- You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort.
- You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
- You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next.
- You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem.
QUALIFICATIONS
- 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
- Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
- Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
- AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
- Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.
BONUS QUALIFICATIONS
- Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries.
- Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: CH - Zurich, Switzerland
The Security Team of Scopely Explore (formerly known as Niantic) seeks a Senior Security Engineer to improve the security posture of our software development lifecycle, applications, and build infrastructure.
Scopely Explore, known for global hits like Pokémon GO, Monster Hunter Now, and Pikmin Bloom is now part of Scopely, home to games like Monopoly GO!, Stumble Guys, and Star Trek Fleet Command. Together, we engage billions of players worldwide, and we need your expertise to keep them safe!
Do you want to help secure one of the most widely used gaming platforms on the planet? We seek creative and dedicated engineers with excellent technical judgment, strong interpersonal skills, and an eagerness to embrace new technologies.
What You’ll Do
Implement and maintain agentic or AI-enabled workflows to speed-up common security tasks.
Perform security reviews and audits of platform and application software throughout design and launch.
Provide guidance and expertise to product and operations teams across Scopely.
Design, build and maintain automation and tooling that amplify the Security Team’s impact and improve the developer experience.
Drive initiatives in security architecture, application scanning, fuzzing, and other proactive defenses.
Contribute to hardening efforts across in-house libraries, CI/CD systems, and cloud/container environments.
Be responsible for third-party library reviews and manage vulnerability remediation.
Educate engineers on secure coding practices and help standardize security across teams.
Engage in red-team exercises and coordinate with internal teams and external pentesting partners.
Qualifications
Bachelors in Computer Science or related field
5+ years of experience in a global company with cloud-centric infrastructure (preferably GCP).
You have implemented services and applications with the help of AI tools like Claude, Codex, OpenCode or Gemini and are adept in the use of these tools and adjacent technologies (RAG, MCP, etc).
You are capable of creating automation, agentic workflows and tooling to reliably solve problems that scale to the whole enterprise.
You have in-depth experience in hardening distributed web services, cloud services and platform architectures.
You can demonstrate strong programming skills (preferably Go or Java) and a deep understanding of common vulnerability classes and exploitation patterns across modern stacks.
Excellent communication skills and experience collaborating across distributed teams.
Bonus Points...
Have participated in red-team operations or managed mitigation tracking.
Possess deep familiarity with build systems, artifact repositories, or large-scale infrastructure.
Have delivered privacy-focused solutions for user-facing services.
Have experience in code quality management or security champion programs.
Have worked in a customer-centric engineering culture and value pragmatic, scalable solutions.
Can demonstrate hands-on experience or research in the area of AI security and safety.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: London, England
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
You'll design and build backend systems powering blockchain infrastructure and staking products across Galaxy — spanning Ethereum-based systems, staking infrastructure (native and liquid), and blockchain data systems and APIs. Liquid Collective is one of several key initiatives you'll contribute to.
This is a hands-on role with significant ownership and influence. You'll play a key part in shaping architecture, development practices, and engineering culture — not just building features, but raising the bar on how the team works. You'll own systems end-to-end, from architecture through to observability, and you'll operate in a spec-first development environment that increasingly leverages AI-assisted workflows.
Typical time allocation: roughly 60% building systems and features, 20% code review and mentorship, 20% design, architecture, and product collaboration.
What You’ll Do:
Build and own backend systems
Design and build
APIs, services, Ethereum data pipelines and indexers, staking and validator infrastructure integrations, and monitoring and operational tooling.
O
wn system design end-to-end: architecture, implementation, testing, deployment, and observability.
W
ork across the Ethereum stack, integrating with both execution layer and consensus layer clients.
C
ontribute to Liquid Collective alongside other staking and blockchain infrastructure projects across Galaxy.
Define and uphold engineering standards
Set and
maintain
the bar on API design, testing strategies for distributed systems, reliability and fault tolerance, and security and key management practices.
O
perate in a spec-first development environment — translate product and protocol requirements into clear technical specs before building.
L
everage AI-assisted development workflows (
e.g.
Claude Code) and work with emerging paradigms like MCP (Model Context Protocol) and agent-based tooling.
Collaborate and contribute to engineering culture
W
ork cross-functionally with protocol, product, and infrastructure teams.
M
entor engineers through code review, design feedback, and raising the overall quality of what the team ships.
C
ontribute
to how the team evolves its practices — not just executing within the current
system, but
improving it.
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
7
+ years of professional software engineering experience.
Strong experience building backend systems in Golang.
Deep understanding of distributed systems.
Experience working with blockchain systems, preferably Ethereum — including familiarity with execution vs consensus layers, node operation, and data flow.
Experience with cloud-native infrastructure: AWS, Kubernetes, Helm, GitOps (e.g. Flux).
Strong testing practices for complex and stateful systems.
Experience working in remote, asynchronous teams.
High agency, low ego — you own your work end-to-end and hold yourself accountable for quality.
Bonus Points:
H
ands-on experience with Ethereum nodes (execution and/or consensus clients) or validator and staking infrastructure.
Understanding of proof-of-stake mechanisms.
Experience building blockchain indexers, data pipelines, dApps, or smart contracts (Solidity).
Familiarity with AI-assisted development workflows: spec-driven development, code generation tools, MCP, or agent-based paradigms.
Contributions to open-source projects.
Experience with Rust.
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
JOB SUMMARY
We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.
You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.
KEY RESPONSIBILITIES
CI/CD & RELEASE ENGINEERING
- Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms.
- Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates.
- Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.
PLATFORM RELIABILITY & OBSERVABILITY
- Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato).
- Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure.
- Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.
CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT
- Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability.
- Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable.
- Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code.
- Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.
SECRETS, ACCESS & SECURITY POSTURE
- Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts.
- Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum).
- Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments.
- Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.
AUTOMATION & TOOLING
- Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience.
- Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.
GOVERNANCE, STANDARDS & COLLABORATION
- Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries.
- Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts.
- Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.
QUALIFICATIONS
EXPERIENCE
- 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role
- 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments)
- Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity
- Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado
- Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context
- Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus
- Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices
- Experience with incident management, on-call processes, and writing post-incident reviews
SKILLS & COMPETENCIES
Technical
- Strong scripting skills in Python, Bash, or Node.js for automation and tooling
- Proficiency with Git, branching strategies, and version control best practices
- Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools
- Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation)
- Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar)
- Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred
- Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases
Operational & Mindset
- Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end.
- Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable.
- AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack.
- Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck.
- Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.
WHAT YOU'LL WORK WITH
- Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs.
- NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards.
- MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows.
- Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework.
- GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices.
- AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations.
- GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms.
- Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning.
- Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
JOB SUMMARY
As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp's Go-To-Market business — spanning core business products and the integration platforms that connect them. This role is AI-native at its core: you won't just maintain existing workflows, you'll actively advance our GTM systems with intelligent agents, LLM-powered automations, and next-generation integration patterns built on MCP, ClickUp Super Agents, and modern iPaaS tooling.
You'll sit at the intersection of business systems architecture and applied AI — partnering with Sales, Finance, Revenue Operations, and fellow GTM Systems engineers to eliminate toil, accelerate revenue workflows, and build the automated, AI-augmented infrastructure the company runs on. This is a hands-on engineering role for someone deeply fluent in enterprise business systems, excited about deploying production AI, and committed to genuine ownership of the platforms they build — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.
KEY RESPONSIBILITIES
AI-NATIVE AUTOMATION & AGENT DEVELOPMENT
- Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations.
- Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflows.
- Architect and implement MCP (Model Context Protocol) integrations that allow AI agents to interact with business systems contextually and safely — enabling intelligent, event-driven actions across the GTM platform.
- Explore and evaluate emerging AI capabilities (RAG, fine-tuning, multi-agent orchestration) and determine which are production-ready for GTM business systems use cases.
- Build reusable AI templates, automation patterns, and agent blueprints that can be extended across the GTM Engineering team.
BUSINESS SYSTEMS INTEGRATION & ARCHITECTURE
- Build and maintain integrations across Salesforce, NetSuite, Workato, MuleSoft, DealHub (CPQ), and other GTM platforms — with a strong bias toward clean architecture, low technical debt, and supportable design.
- Own end-to-end integration patterns for critical business flows such as lead-to-opportunity, quote-to-cash, order-to-fulfillment, and revenue reporting pipelines.
- Design data flows and transformation logic that keep business data accurate, consistent, and accessible across systems without creating fragile point-to-point dependencies.
- Apply a build-vs-buy mindset: evaluate whether a given automation need is best solved with native platform capabilities, iPaaS tooling, or custom code — and make the case clearly.
PLATFORM DEVELOPMENT & TOOLING
- Build internal tooling, low-code/no-code solutions, and lightweight applications using platforms such as Retool, Replit, or similar to extend business systems capabilities with minimal overhead.
- Write automation scripts and data transformation logic in Python, JavaScript, or Apex as needed to bridge gaps that platform tooling cannot address natively.
- Utilize Zapier, Workato, and similar iPaaS platforms to orchestrate cross-system workflows that are maintainable, observable, and well-documented.
- Own the full lifecycle of what you build: discovery, design, development, testing, deployment, documentation, and ongoing optimization.
RELIABILITY, OBSERVABILITY & CONTINUOUS IMPROVEMENT
- Monitor the health and performance of automations and integrations you own; proactively identify degradation, data inconsistencies, or failure patterns before they impact business operations.
- Conduct root-cause analysis of integration failures or automation breakdowns and drive durable fixes — not just incident patches.
- Maintain runbooks and operational documentation so that platform behavior is understandable and recoverable by the broader team.
- Gather feedback from business stakeholders and iterate on existing automations to improve accuracy, reduce edge cases, and adapt to evolving GTM processes.
CROSS-FUNCTIONAL COLLABORATION & STAKEHOLDER ENGAGEMENT
- Partner with Sales, Revenue Operations, Finance, and Customer Success stakeholders to translate business requirements into well-scoped technical solutions.
- Work closely with GTM Systems Engineering, DevOps, and BSA teammates on architecture decisions, intake prioritization, and delivery execution.
- Contribute to the GTM Systems Engineering operating model: maintain task hygiene, communicate proactively on large initiatives, and log AI/automation work in the team's AI Excellence registry.
- Serve as a subject matter expert for business systems automation and AI — educating stakeholders on what's possible and setting realistic expectations on scope and delivery.
QUALIFICATIONS
EXPERIENCE
- 3–5+ years in a business systems engineering, systems administration, or integration engineering role.
- Demonstrated experience building and shipping automations or integrations that delivered measurable business value in production environments.
- Hands-on experience with Salesforce and at least one ERP platform (NetSuite strongly preferred).
- Experience deploying AI or LLM-powered automations in a production business systems context — or a clear, demonstrated trajectory toward it.
- Experience working in a high-velocity environment where you manage multiple concurrent priorities and adapt quickly to changing business needs.
- Optional but valued: experience with DealHub (CPQ), ClickUp, quote-to-cash workflows, or revenue operations systems.
SKILLS & COMPETENCIES
Technical
- Salesforce configuration, automation (Flow, Process Builder), Apex, and data model design — admin or developer-level proficiency required.
- NetSuite workflows, SuiteScript, SuiteBundler, saved searches, and data model — particularly as it relates to order management, billing, and revenue recognition.
- Hands-on experience with Workato, MuleSoft, Zapier, or comparable iPaaS platforms — including multi-step flows, error handling, and observability.
- Practical experience with LLM APIs (OpenAI, Claude, etc.), prompt engineering, agentic workflow design, and MCP integrations. Experience with ClickUp Super Agents is a strong plus.
- Proficient with Python, JavaScript, or Apex for automation scripting and data transformation; comfortable with REST APIs, webhooks, JSON, and OAuth-based integrations.
- Strong understanding of business systems data models and integration patterns (event-driven, batch, real-time).
Operational & Mindset
- Ownership: You take full responsibility for the systems you build — from reliability and documentation to stakeholder trust and continuous improvement. You don't hand off and walk away.
- Velocity: You move fast, iterate, and ship. You know when "good enough and deployed" beats "perfect and blocked," and you never sacrifice reliability or data integrity to get there.
- AI & Automation mindset: You default to asking "how can an agent or LLM handle this?" before reaching for a manual workflow — experimenting confidently and evaluating critically.
- Collaboration: You bridge the gap between technical architecture and business impact, asking clarifying questions, challenging assumptions respectfully, and earning trust with the stakeholders you support.
- Growth: You stay current on emerging AI capabilities, evaluate what's production-ready, and continuously raise the bar on what GTM systems can do.
WHAT YOU'LL WORK WITH
- Salesforce: CRM platform — automations, Flow, Apex, data model, reporting, and CPQ/OTC integrations.
- NetSuite: ERP platform — SuiteScript, workflows, order management, billing, and revenue recognition flows.
- ClickUp Super Agents: AI-powered automation and agentic task orchestration within the ClickUp ecosystem.
- Integration stack: Workato, MuleSoft, Zapier — recipe/flow development, cross-system orchestration, and platform observability.
- AI & MCP tooling: LLM APIs, Model Context Protocol (MCP), agentic workflow design, and production AI integration patterns.
- Low-code tooling: Retool, Replit, or similar for internal applications and workflow extensions.
- Scripting & APIs: Python, JavaScript, Apex, REST/webhook integrations, and JSON-based data transformation.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is looking for an experienced engineer who has designed and built secure software systems to help define the security foundations for our AI products. You’ll work with product and engineering teams on agent runtimes, tool permissions, retrieval, content writes, observability, and abuse-resistant design. You’ll turn product risks into clear architecture, reusable guardrails, automated tests, and production systems that help teams ship new features safely.
This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Define and build security architecture for product surfaces that operate across customer workspace content, including tool execution, content writes, retrieval, permission checks, provenance, and auditability.
- Make the secure path the easy path for product teams by shipping reusable libraries, review patterns, test fixtures, and guardrails that prevent classes of vulnerabilities.
- Build automated red-team and regression testing for risks such as prompt injection, indirect instruction following, data exfiltration, tool misuse, cross-tenant leakage, and unsafe workspace mutations.
- Translate threat models for new product surfaces into concrete engineering requirements, production checks, and launch criteria.
- Use production signals, incident learnings, and targeted experiments to harden Notion over time, then feed those learnings back into architecture and developer workflows.
- Help define the security bar for how engineers use coding agents, MCP-enabled tools, hooks, and internal automation without introducing new risk.
SKILLS YOU'LL NEED TO BRING:
- Secure software engineering craft: You have 8-10+ years of experience designing, building, or securing complex software systems, and you are comfortable working in production code with product and platform engineers.
- Security architecture judgment: You can look at a complex system and reason about where the permissions, data flow, or trust boundaries are likely to get weird, and help re-design it to make them better.
- Security product strategy: You can turn a complex security risk you see into a product design or architecture that can be built.
- Builder mindset: You’d rather leave behind a useful tool, test, library, or pattern than a task or project for someone else to pick up later.
NICE TO HAVES:
- Experience building or securing products with tool use, retrieval, workflow automation, content writes, or complex permission boundaries.
- Hands-on experience with prompt-injection testing, red teaming, model behavior evaluation, or abuse-resistant application design.
- Experience with enterprise SaaS security models: permissions, sharing, audit logs, data residency, encryption, compliance, or customer-facing trust guarantees.
- Experience building developer tooling, CI checks, coding-agent workflows, MCP integrations, or internal frameworks that shape how engineers build software.
- Public security research, vulnerability writeups, conference talks, or open-source work related to product security or secure developer infrastructure.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $270,000 - $340,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT US:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE:
Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day.
We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role.
You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day.
WHAT YOU'LL ACHIEVE:
- Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS.
- Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS.
- Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools.
- Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift.
- Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection.
- Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse.
- Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream.
- Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.
SKILLS YOU NEED TO BRING:
- Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company.
- Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM).
- Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments.
- Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration.
- Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors.
- Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level.
- Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC.
NICE TO HAVES:
- Experience at a fast-growing tech or AI company where the security program had to outpace headcount.
- A background in IT engineering, SRE, or production engineering that transitioned into security engineering.
- Experience building internal security tooling or workflows that improved employee or developer experience.
- Contributions to the security community through open-source tools, blog posts, or conference talks.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: New York City
We’re looking for a Staff Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you’ll set technical direction and build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents. This role is based in our New York City office with an office-centric hybrid schedule.
The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence.
Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work.
Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work.
Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent.
Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review.
Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement.
Set technical direction for the team, balancing experimentation with reliability, maintainability, and long-term platform thinking.
Partner cross-functionally with teams across the engineering organization to understand engineering needs, identify workflow friction, and scale high-impact solutions.
About you
8+ years of software engineering experience, including 3+ years of experience leading complex technical projects across teams.
Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation.
Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based integrations, AI-powered code review systems, or agent skill/tool ecosystems.
Experience building evaluation and quality frameworks for AI-generated outputs.
Strong technical judgment and systems design skills, with the ability to make pragmatic tradeoffs in ambiguous or rapidly changing environments.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $248,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-AS2
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Singapore
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
The
Technical Automation QA (Playwright / TypeScript)
at
Constructor Tech
will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on
Playwright
and
TypeScript
. This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of
AI-driven testing
and
Modular Composable Platforms (MCPs)
.
You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process.
Key Responsibilities
Design, build, and maintain scalable automation frameworks
using
Playwright
and
TypeScript
for web and API testing.
Define and evolve test automation strategy
, processes, and best practices to ensure consistent quality across projects.
Develop and maintain
robust, reusable test suites and utilities for regression, smoke, and integration testing.
Integrate automation into CI/CD pipelines
(e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops.
Collaborate with developers and DevOps engineers
to ensure test environments and data are stable and reliable.
Apply white-box and gray-box testing techniques
to ensure thorough coverage of both frontend and backend components.
Contribute to the adoption of AI-assisted testing tools
and
automation intelligence
for test creation, maintenance, and analytics.
Participate in exploration and implementation of MCP-based automation components
and reusable service connectors.
Provide technical guidance through mentoring and peer reviews
, helping less experienced QAs enhance their automation expertise and code quality.
Continuously improve test performance, reliability, and reporting visibility
through innovation and tool evaluation.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
4+ years of experience in QA and automation
, including
2+ years with Playwright
and
TypeScript
.
Proven experience in
building test automation frameworks from scratch
.
Solid understanding of
SDLC
,
QA methodologies
, and
automation design principles
.
Strong knowledge of
TypeScript
and/or
Python
for test development.
Experience with
REST API testing
,
SQL
, and relational databases.
Familiarity with
Jenkins
,
GitLab CI
, and
Git
for continuous integration and source control.
Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset.
Fluent in
English
, both written and verbal.
Nice to Have
Experience with
AI-powered testing tools
or
model-based testing
.
Familiarity with
Linux
,
Docker
, and
Kubernetes (K8s)
.
Knowledge of
mobile automation frameworks
such as
Appium
or similar tools.
Understanding of
MCP architecture
and how it can enhance modular automation.
Knowledge of
performance
or
security testing
concepts.
Experience working in
Agile
or
Kanban
environments.
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
ГибридSan Francisco; Palo Alto; London; Seattle; New York City
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.
Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
УдалённоseniorГеография найма не уточнена
seniorThis is a North American based role, but you'll be joining one global team: the sun never sets on Cloudflare, and our engineers hand off work across every time zone to keep the network running around the clock
Tokyo, Japan
ГибридToronto, Ontario, Canada
seniorCH - Zurich, Switzerland
УдалённоUkraine
УдалённоPoland
seniorLondon, England
УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
ГибридSan Francisco, California; New York, New York
ГибридSan Francisco, California; New York, New York
New York City
Singapore; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
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