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Location: Cairo, Egypt; Alexandria, Egypt Insurance is one of the world's largest industries and one of the most painful to interact with . Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. Why This Role Exists We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are You ship. Ideas without execution do not count for you. High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… You prefer tickets assigned to you over choosing what to build. You measure your work in lines of code, not outcomes. You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. You want a process-heavy environment with detailed specs handed down from product. You are looking for a maintenance role on a finished platform. Why CoverGo Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write. Why You'll Love Working Here 100% Remote Work 15 Days of Annual Leave Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Lisbon, Portugal; Porto, Portugal Insurance is one of the world's largest industries and one of the most painful to interact with . Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. Why This Role Exists We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are You ship. Ideas without execution do not count for you. High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… You prefer tickets assigned to you over choosing what to build. You measure your work in lines of code, not outcomes. You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. You want a process-heavy environment with detailed specs handed down from product. You are looking for a maintenance role on a finished platform. Why CoverGo Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write. Why You'll Love Working Here 100% Remote Work 15 Days of Annual Leave Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland Insurance is one of the world's largest industries and one of the most painful to interact with . Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. Why This Role Exists We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are You ship. Ideas without execution do not count for you. High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… You prefer tickets assigned to you over choosing what to build. You measure your work in lines of code, not outcomes. You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. You want a process-heavy environment with detailed specs handed down from product. You are looking for a maintenance role on a finished platform. Why CoverGo Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write. Why You'll Love Working Here 100% Remote Work 15 Days of Annual Leave Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: New York 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: Galaxy’s Digital Infrastructure Services (DIS) is the institutional backbone of our blockchain ambitions – spanning staking, validators, custody, DeFi, and tokenization – serving tier-1 banks, asset managers, and financial infrastructure providers. As Business Partner – Execution & Delivery, you will sit at the center of DIS as a high-agency execution and strategy partner to senior leadership. You will drive the organization’s highest-value work to completion: supporting internal transformation initiatives, owning delivery across complex cross-functional programs, building the client-facing materials that represent DIS externally, and showing up in institutional client rooms when it matters. This role requires someone equally at home in an org design conversation with DIS leadership and in a technical workshop with a tier-1 bank. What You’ll Do: Serve as a direct execution partner to DIS leadership on internal transformation initiatives – org design, operating model changes, team structure, and cross-functional alignment Develop materials that support leadership decision-making: frameworks, options analyses, org charts, decision memos, and structured recommendations Track and synthesize the full picture of what’s happening across DIS – internal initiatives, external engagements, open gaps – so leadership is always informed Help the organization stay ahead of capacity and staffing needs: understand what’s coming, what it requires, and where we need to hire, realign, or augment Own delivery coordination for the most complex, cross-functional DIS initiatives – platform integration, institutional client programs, and strategic product buildouts Translate strategic intent into structured delivery plans with clear owners, milestones, and accountability – and hold teams to them Act as the connective tissue between engineering, product, distribution, and external stakeholders – ensuring no handoff falls through Stay deeply familiar with the active deal landscape – understanding where each engagement stands, what’s required to close or deliver, and where we have product, resource, or capability gaps Build and maintain high-quality client-facing materials: pitch decks, capability presentations, proposal documents, and engagement readouts Represent DIS in institutional client engagements as appropriate – including workshops, technical sessions, and implementation reviews with tier-1 banks, asset managers, and infrastructure providers Proactively identify blockers, scope drift, staffing gaps, and resource conflicts – and bring them to the right people before they compound Contribute to the ongoing evolution of DIS’s operating model – delivery cadences, cross-team rituals, and program tooling – and identify patterns across projects to build repeatable processes 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: 8+ years in a strategy, business partner, operations, or execution-focused role – ideally within a fast-moving technology or financial services organization Proven ability to support senior leadership on internal transformation: org design, operating model changes, team alignment, and cross-functional prioritization Strong commercial instincts – able to understand a deal landscape, identify capability and staffing gaps, and connect the dots between pipeline and organizational capacity Exceptional written communication and materials production – pitch decks, executive briefings, capability documents, and client-facing presentations that reflect well on leadership Highly structured thinker with a bias for action – creates order in ambiguity rather than waiting for it Comfortable operating across functions and org levels simultaneously – org design in the morning, a client session in the afternoon, an engineering status review by end of day Low ego, high accountability – you own your work and say what you see Bonus Points: Experience in digital assets, blockchain infrastructure, or institutional financial services Familiarity with custody, staking, DeFi, or tokenization products Prior experience supporting or working alongside tier-1 financial institutions (banks, asset managers, custodians) Background in post-acquisition integration, platform transformation, or org redesign 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. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $200,000 — $225,000 USD 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: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building great AI infrastructure. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Getting a model into production still takes real expertise: choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from "it runs on my laptop" to "it's serving production traffic" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, Truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with great DevEx and make it effortless for far more developers to self-serve deploy models on Baseten than can today. This role fits someone who gets technical by instinct and does whatever it takes to ship for customers, not only strategy, UX, or docs. You'll define the design system and the patterns from scratch rather than work inside ones someone else built, and you're obsessed with improving your product craft with AI. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Product and Engineering teams: - Building multi-component AI workflows at scale with Chains https://www.baseten.co/blog/baseten-chains-explained/ - Announcing Baseten for Model Labs https://www.baseten.co/blog/announcing-baseten-for-model-labs/ - Introducing canary deployments on Baseten https://www.baseten.co/blog/canary-deployments-on-baseten/ RESPONSIBILITIES - Collapse time to production, taking a developer from first sign-up to a running, maintained production deployment and driving down the time it takes to get there. - Make the CLI and SDKs the primary way developers and their AI agents build on Baseten, converging the authoring surfaces (CLI, console, Truss, config.yml, model.py, chains.py) into one coherent path. - Make a developer's first run effortless across onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface clearly and builds show progress. - Own the deployment lifecycle that lets teams ship safely, including environment promotion from dev to staging to prod, version history, an artifact and model registry, reproducible deployments, and the progressive delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback. - Define how developers compose multi-model apps through Chains and the DevEx for developers building multi-modal agents and applications. - Grow self-serve deployment across FDEs and customers by living in customer conversations and turning deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone. REQUIREMENTS - 5+ years building developer-facing or technical products, as a product manager or as a product-minded engineer. - Built dev tools as an engineer before becoming a PM, shipping SDKs, CLIs, APIs, or platform surfaces with your own hands. - Proof of dev tooling and dev products you've shipped and take pride in. - Genuine taste for developer experience across both local (CLI) and UI, with a specific example of where you made something complex feel simple. - Strong opinions on CLI, API-first, and agent-first design, treating the coding agent as a first-class user rather than a feature. - Technical enough to earn engineers' trust and reason about what's under the hood, because you've been under it. - A rigorous researcher who lets customer reality drive the call, and a relentless shipper NICE TO HAVE - Experience with ML infrastructure, developer tools, or API products. - You've deployed and served models yourself. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid THE ROLE Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring. As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract. Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract. This is a role for technically strong people who are ready to own a number. You'll need at least 1-2 years of closing experience, and technical credibility is non-negotiable. WHAT YOU WILL BE DOING - Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality. - Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities. - Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep. - Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships. - Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering. - Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks. - Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working. - Participate in developer community events, technical meetups, and online forums where our users naturally gather. WHAT YOU BRING - At least 1-2 years of closing experience carrying a quota, ideally selling technical or data infrastructure products to engineering buyers. - A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role. - Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus. - Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before. - An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals. - Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers. - Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building. - Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work. WHY THIS ROLE IS DIFFERENT Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: 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 Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About this role We’re looking for a hands-on SEO Manager to join our Marketing team and help us strengthen Synthesia’s organic growth engine. This is a role for someone who loves experimentation, automation, and creativity as much as analytics — and who gets excited about building high-quality, high-converting website experiences (UX + CRO) that drive users into product. What's exciting about this job? You’ll play a critical role in building the future of Synthesia’s organic growth engine, collaborating with smart, highly motivated peers. You’ll have the freedom to experiment, test bold ideas, and explore how AI and automation are reshaping search optimization. We move fast, value experimentation over theory, and encourage you to break the “SEO rulebook” when it leads to better outcomes. How will your day-to-day look? Managing end-to-end SEO initiatives across on-page, technical, and content — with a particular focus on creating outstanding landing pages and journeys that drive users into product. You’ll partner closely with Product, Brand/Design, and Engineering to improve UX, conversion, and performance, while using data and experimentation to continuously iterate. We move very fast and prefer doing > talking. You can see more about who we are and how we work here: https://www.synthesia.io/careers https://www.synthesia.io/careers Location: London (~3 days per week in office) 🤔 Interested? Imagine joining Airbnb, Stripe, or Figma — when they had product-market fit, but the world hadn’t completely realized it yet. That’s how early we are. Requirements - 5+ years of experience in SEO, with strong on-page and technical foundations. - Strong UX + CRO instincts, with experience improving website journeys (copy, interaction patterns, information architecture) to increase conversion. - AI-native operator. You do the work in Claude or your AI tool of choice. You’re able to automate workflows to ship faster and scale output without sacrificing quality. - Track record of shipping high-quality landing pages that combine SEO best practices with product marketing and clear conversion paths into product. - Comfortable partnering cross-functionally with Product, Design, and Engineering to scope, ship, and iterate on website improvements. - Skilled in auditing and optimizing localized websites, improving performance and visibility across multi-language and geo-specific markets. - Strong attention to detail with a solid understanding of UX/UI across both mobile and desktop. - Experience with measurement and reporting tools (Looker, GA4, HubSpot, or other BI tools) and the ability to turn complex data into clear insights. - Self-starter with a strong bias for action, thriving in fast-moving environments where doing > talking. - Bonus: experience with off-site SEO and driving performance in AI search - Curious, adaptable, and deeply interested in how AI is transforming search — eager to experiment with new discovery channels, test what drives results, and push the boundaries of what SEO can achieve. Our culture At Synthesia, we’re passionate about building, not talking, planning, or politicizing. We strive to hire the smartest, kindest, and most unrelenting people — and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback, and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21

Location: United States of America 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 of America 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: Belgium, Zaventem Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Hybrid Role - 1 day a week in the office Who we are The Direct to Consumer (D2C) Data Science organisation comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview Within D2C Data Science, the D2C ML Engineering team is seeking a software engineer to help design, build, and support production AI platform capabilities that solve high-value business problems across the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an engineering role focused on turning AI into dependable products, services, and automation. The ideal candidate is a strong software engineer with backend experience and practical hands-on applied AI experience. What you’ll be doing: Create services, workflows, and reusable components for LLM-powered solutions. Collaborate with stakeholders to understand use cases, identify if and how AI could be used, prototype solutions, measure outcomes, and help move proven capabilities into production. Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services. What we’re looking for: Master’s degree in computer science, engineering or related with 4+ years of professional software engineering experience. Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services. Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design. Experience with AWS or equivalent cloud services Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms. Preferred Skills: Experience with AI orchestration patterns Experience supporting a production system Familiarity with Model Context Protocol Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand for hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of blockchain to users around the world through leading products including OKX, OKX Wallet, OKLink, and more. About the Role As part of the Institutional Relationship Management team, you will serve as the primary point of contact for our institutional partners. Your mission is to cultivate long-term relationships, drive revenue growth through proactive sales and strategic engagement, and ensure a seamless operational experience for institutional clients. This role sits at the intersection of institutional sales, client relationship management, and product collaboration , acting as a bridge between client needs and internal product capabilities. Performance will be evaluated through a balanced KPI framework focused on growth, new business development, and client service excellence to support sustainable revenue generation and operational quality. What You’ll Be Doing Business Development & Growth Identify and qualify new institutional leads, managing the full sales cycle from initial outreach through to closing and post-sales client success. Coordinate the end-to-end onboarding process for institutional clients, including verification and account activation. Monitor client activity and trading patterns to identify opportunities for upselling and cross-selling. Develop strategic initiatives to expand institutional client relationships and drive trading activity. Product & Relationship Management Serve as the dedicated relationship lead for assigned institutional accounts, resolving day-to-day inquiries and operational issues within defined SLAs. Proactively educate clients on new product launches, platform features, and market developments to support optimal platform usage. Analyze client feedback and operational challenges, identifying meaningful signals that can drive product improvements and commercial outcomes. Develop deep expertise in OKX’s product suite, trading infrastructure, and risk framework to provide informed guidance to institutional clients. Manage dedicated client communication channels (Slack, Telegram, WhatsApp, WeChat) and coordinate with internal teams including Product, API, Legal, and Compliance to deliver solutions and improvements. Advocate internally for initiatives that enhance client experience, increase trading activity, and support long-term client retention. Compliance & Governance Ensure all client engagements strictly adhere to company policies, Terms of Service, and local regulatory requirements. Support due diligence processes including DDQs, partnership agreements, and audit requests in collaboration with Legal and Compliance teams. Maintain high standards of documentation, operational transparency, and regulatory alignment. What We Look For In You Requirements Bachelor’s degree in Business, Finance, Economics, or a related field. 5+ years of experience in institutional sales, relationship management, or business development within crypto, fintech, or financial markets. Strong understanding of digital asset trading products, institutional client workflows, and exchange infrastructure. Proven experience managing institutional or high-value client relationships. Excellent communication and stakeholder management skills. Strong analytical mindset with the ability to identify commercial opportunities from client insights. Ability to work cross-functionally with product, engineering, compliance, and legal teams in a fast-paced environment. Experience working with institutional crypto clients such as funds, market makers, trading firms, or fintech platforms. Nice to Have Familiarity with APIs, trading infrastructure, and liquidity solutions. Background in regulated financial markets or digital asset platforms. Strong understanding of the global crypto ecosystem and institutional market dynamics. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The Service Stability Engineering Team envisions service stability as one of the core competitive strengths of the company's products. By building end-to-end, link-level risk management capabilities, the team aims to achieve sustainable automatic identification and analysis of stability risks, transforming from "reactive governance" to "proactive governance." This approach shifts more stability-related matters forward and addresses them early, preventing issues before they arise and enhancing user experience. What You’ll Be Doing Oversee non-functional aspects of relevant business lines, closely collaborate with business units to ensure service stability. Based on data analysis, identify stability risks throughout the entire chain, detect unreasonable architectural designs in advance, uncover root causes of issues, and systematically address problems; Explore new technologies, tools, and architectural patterns, and promote the implementation of best practices in application architecture. What We Look For In You Bachelor's degree or higher in Computer Science or a related field, with over 7 years of experience in development and architecture. Proficiency in Java, hands-on experience with the Spring Cloud microservices technology stack, solid computer science fundamentals, and a grasp of Linux, storage, and network I/O principles. Possess experience in high-concurrency distributed system architecture or high-concurrency scenario component design and development, with an understanding of Java concurrency libraries. Understanding of core Middleware technologies like Nginx, Redis, ElasticSearch, Kafka, MySQL, Docker and Kubernetes. In-depth understanding of the business architecture currently managed, along with a strong methodology for architectural design. Capable of rationalizing architectural designs for new business lines and providing targeted optimization suggestions. Nice-To-Haves Proficiency in speaking, reading and writing in both English and Mandarin to collaborate effectively with global and cross-functional team members. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Mumbai 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 We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit 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: Galaxy is seeking a Senior Product Security Engineer with an expertise in securing micro services and cloud applications, and with a thorough understanding of product and software engineering processes. The engineer will participate in assessments of advanced trading systems and blockchain architectures, followed by the facilitation and/or implementation of remediations. The engineer will report to the Director of Product Security and work closely with Engineering, Product and Infrastructure teams to design and deliver secure software solutions at a rapid growth company. What You’ll Do: Assist engineering and software delivery teams in assessing the security of the applications, software, and operational components including: Participate in relevant secure software design and code reviews Assist with development and review of test plans to ensure effective security coverage Assist teams with the mitigation of findings: assess the impacts, propose possible solutions, and provide technical guidance for implementation Provide expertise and advice on cloud application and infrastructure security design patterns Provide training and thought leadership for secure software development practices Review and improve implementations of authentication, authorization, data access and other security layers of our product stack Research and collaborate with product team members to make proposals to adopt advanced security patterns - e.g. MPC, multi-signature, confidential computing What We’re Looking For: Bachelor or post-graduate diploma in cybersecurity or technology 5 years work experience in product security, application security, cloud security, or software development of security features Threat modeling, risk assessment, controls review Programming languages Managing SAST, DAST, SCA, and helping software engineers with understanding vulnerabilities and selecting appropriate mitigation In depth understanding of at least a few of the following topics: authentication and authorization technology, TLS and PKI, network security, cloud security, system security Strong analysis skills, detail oriented, strategic thinking Strong verbal and written communication skills, collaborative and solution-driven Security or cloud certifications Bonus Points: Familiar with Cryptocurrency What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Great office location in central Mumbai (BKC) Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues *Benefits may vary depending on location. 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: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a Sr. AI Security Engineer to join our team! About The Role Backblaze is seeking a Senior AI Security Engineer to design and implement safeguards for internal AI usage , with a focus on agentic systems, developer protection, and runtime security . This is a hands-on role for a practitioner who has built and deployed security controls , not just defined policy. You will enable teams to safely use AI by creating enforcement layers, identity controls, and detection capabilities that constrain and monitor AI-driven activity. What You’ll Do: Agentic AI Safeguards Architect and implement guardrails for tool-using AI systems , including: Tool access controls and allowlists Context and memory isolation Step-level validation of agent actions Apply mitigations aligned to the OWASP Agentic AI Top 10 (e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy) Runtime Security Controls Build enforcement mechanisms that govern AI behavior at execution time: Interceptors, proxies, or middleware for tool/API calls Policy decision and enforcement layers Rate limits, execution bounds, and kill-switches Prevent unsafe or unauthorized actions initiated by AI systems Non-Human Identity (NHI) Design and implement identity and access controls for agents and automation , including: Short-lived credentials and scoped permissions Clear separation between human and non-human access Strong binding of identity to task context and execution Ensure all AI actions are attributable and auditable Observability & Detection Implement logging and tracing for AI activity : Prompts, tool usage, and decision flows Build detection capabilities using: Behavioral baselining and anomaly detection techniques Identify and alert on: Abnormal tool usage Suspicious prompt patterns Unexpected data access Threat Modeling (MAESTRO) Perform agentic system threat modeling using MAESTRO , including: Mapping agent capabilities, trust boundaries, and attack paths Modeling misuse and adversarial scenarios Translate findings into practical safeguards and detection logic Developer Safeguards Protect developers using AI tools by: Preventing sensitive data exposure Validating AI-generated code and actions Constraining unsafe automation Enable safe usage of AI-assisted development tools (e.g., Claude Code, Codex, Cursor ) with: Security validation layers Controlled prompting and output handling patterns The Right Fit: 7+ years in security engineering or backend systems Proven experience designing and deploying security controls , such as: Runtime enforcement layers (proxies, middleware, policy engines) Identity and access systems, especially for non-human entities Strong programming skills (Python preferred; Go, Java, or TypeScript a plus) Experience using AI-assisted development tools such as Claude Code in real workflows, including understanding associated security risks and safeguards Experience with: Logging, monitoring, and detection systems Building or securing API/service interactions Practical familiarity with: Agentic AI systems or tool-integrated LLM workflows OWASP guidance for AI/agent risks Practitioner Knowledge Experience applying (not just referencing): OWASP Agentic AI / LLM risk guidance NIST AI RMF concepts in real systems CSA guidance on workload and machine identity Strong understanding of: Zero Trust for non-human identities Secrets management and credential scoping Observability tooling (e.g., OpenTelemetry, ELK) Bonus Points For: Experience securing internal AI platforms or developer-facing AI tools Background in detection engineering, threat hunting, or adversarial testing Familiarity with agent frameworks (e.g., LangChain, LlamaIndex) Experience mentoring engineers and guiding secure design At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE