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Location: Jeddah, Saudi Arabia; Makkah, Saudi Arabia Job Purpose The Maintenance Engineer (Civil) is responsible for ensuring that buildings, architectural assets, and external areas are maintained in a safe, functional, and aesthetically acceptable condition. The role ensures compliance with KAUST standards, specifications, applicable building codes, and maintenance best practices. The position also monitors maintenance quality, conducts inspections and audits, assesses asset conditions, and recommends corrective and preventive actions. Key Responsibilities Monitor the quality of civil and architectural maintenance works performed by service providers. Conduct inspections and audits of existing facilities, ongoing maintenance activities, and completed works to ensure compliance with approved standards and specifications. Participate in construction inspections, project handovers, walkthroughs, snagging, and verification of rectification works. Audit preventive maintenance programs and ensure planned inspections and maintenance activities are completed as scheduled. Audit reactive maintenance work orders, identify recurring issues, and recommend corrective and preventive measures. Conduct condition assessments of civil and architectural assets and recommend repair, refurbishment, or replacement as required. Review maintenance plans, task lists, failure modes, failure codes, and causes, and recommend improvements. Monitor PM/RM/CM work orders and support initiatives to reduce maintenance backlogs. Conduct incident and failure investigations, perform root cause analysis, and recommend actions to prevent recurrence. Prepare inspection, audit, condition assessment, and maintenance reports and provide technical recommendations for facility improvements. Ensure maintenance activities comply with applicable KAUST standards, specifications, building codes, and industry best practices. Qualifications & Experience Bachelor's degree in Civil Engineering, Architecture, or equivalent . Minimum 5 years of relevant experience in building maintenance, civil/architectural inspections, audits, construction, or facilities management. Experience in design, construction, quality inspection, project handover, and snagging is desirable. Experience with maintenance management systems/CMMS such as SAP or Maximo is desirable. Technical & Professional Competencies Working knowledge of AutoCAD and Microsoft Office . Good knowledge of building construction, architectural finishes, civil works, and maintenance practices. Working knowledge of applicable building codes, standards, and specifications. Ability to conduct inspections, audits, condition assessments, and root cause analysis. Ability to perform mid-level data analysis, including auditing, assessing, deducing, and drawing conclusions. Familiarity with USGBC LEED requirements is desirable. Excellent written and spoken English . Strong analytical, problem-solving, communication, and reporting skills.

Location: United States SaaS Revenue & Financial Analyst — Flosum About Flosum Flosum is a Salesforce-native platform company delivering enterprise-grade DevOps, data protection, and security solutions to some of the world's largest organizations. Our product portfolio spans Cloud DevOps, Data Migrator, Data Masking, Data Backup, Org Security, Cloud Trust Center, and Sandbox Synchronization — all built natively on the Salesforce platform. We serve enterprise customers across technology, energy, financial services, healthcare, and federal government. Flosum is a growth-stage company operating with the intensity and speed of a startup backed by the discipline of a mature operator. The Role We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between. You'll work across Salesforce (our CRM and billing system of record) and QuickBooks (our financial system) to build a unified, always-current picture of company performance. This is not a reporting role. This is an analytical role where you connect revenue operations data to financial outcomes and surface the insights that drive decisions at the CEO level. What You'll Own You will build and maintain our SaaS metrics infrastructure — ARR waterfall, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and unit economics by segment. You will reconcile Salesforce bookings data against QuickBooks revenue entries and ensure we have a single source of truth across both systems. You will produce monthly and quarterly financial and revenue packages for leadership, including variance analysis against plan. You will model scenarios for pricing changes, product bundling, geographic expansion, and headcount investment. You will monitor pipeline health and translate pipeline data into revenue forecasts with documented assumptions. You will own the data integrity between our CRM and accounting systems, flagging discrepancies before they compound. You will support board-level and investor-level reporting with clean, defensible metrics. Requirements What We're Looking For You have three-plus years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company. You are deeply proficient in Salesforce — not as a user, but as someone who understands opportunity objects, product schedules, contract structures, and reporting at a data level. You are equally proficient in QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows. You understand ASC 606 revenue recognition principles and can apply them to a multi-product SaaS business with annual and multi-year contracts. You can build financial models from scratch in Excel or Google Sheets — not from templates, from logic. You think in terms of cohorts, not just totals. You understand the difference between bookings, billings, and revenue, and you can explain why each matters. You are precise, skeptical of your own numbers, and obsessive about data integrity. Preferred Experience at a company with a mix of subscription revenue and professional services. Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects. Exposure to investor or board reporting at a growth-stage company. Experience with Marketo or HubSpot data as it relates to CAC and attribution modeling. Why Flosum You'll report directly into the CEO's operating rhythm. Your work will not sit in a queue — it will shape hiring plans, product investment, and go-to-market strategy in real time. Flosum is building the definitive platform for Salesforce lifecycle management, and we need someone who can measure every dimension of that growth with precision.

Location: San Francisco Workplace: Hybrid Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale. About the role Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff. Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance. This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient. What you'll do - Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience. - Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences. - Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences. - Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started. - Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity. - Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff. - Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement. - Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness. - Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support. What we're looking for The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time. Must-haves - 4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role. - Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats. - Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences. - Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts. - Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity. - Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact. - Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams. - High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment. Nice-to-haves - Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms. - Experience building technical onboarding or adoption programs for enterprise customers. - Background in adult learning, instructional design, customer education, or enablement operations. - Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement. - Experience developing customer-facing technical content, workshops, or certification programs.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn't work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you'll own the technical thesis for closing that validation gap and build the early proof yourself. You'll rethink what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy enough that teams choose to adopt it. Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy. Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions. Language-aware approaches under one shared model of what "trusted" means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language. Real measurement of whether engineers trust and adopt the path, fed straight back into the platform. What you’ll do Own the technical thesis for how GitLab validates software when an agent is the author, and turn it into an architecture the team can build against. Prototype the hard parts by building early versions of feedback mechanisms that catch the gap between passing tests and working software, proving what works before the team scales it. Develop approaches for GitLab's primary stacks, starting with Rust, Ruby, and Go, under one shared definition of "trusted," while allowing the right technique to differ by language. Design the mid-loop feedback an agent needs to self-correct toward working software rather than green assertions, and build the systems that deliver it. Collaborate with engineering teams to adopt these approaches, measure adoption, engineer trust, and validation quality, and use those findings to improve the platform. Set technical direction the team can build on, review designs, and help teammates grow their technical judgment. What you’ll bring Deep, current, hands-on experience building real software with artificial intelligence agents, ideally across more than one language, and a clear understanding of why agent output can pass tests yet fail in production. A strong point of view on the validation gap and concrete ideas for closing it, backed by approaches you've built or tried. Experience designing distributed systems designed to run on Kubernetes first. The technical range to design systems rather than tune a single framework, and the judgment to know when a solution should be general or language-specific. You prototype to learn, and you ship. The ability to influence engineers across an organization without formal authority through working code and sound reasoning. Strong written communication in an all-remote, asynchronous environment. Alignment with GitLab's values, especially collaboration, iteration, and transparency. This isn't a quality assurance or test automation role. We aren't looking for depth in a particular testing framework. We're looking for someone who has built with agents, experienced the validation gap firsthand, and wants to solve it. About the team The Trusted Agentic Development team is part of GitLab's Developer Experience group. We build platforms and practices that help GitLab engineers validate agent-generated software with confidence. We work across engineering teams and programming languages to understand how people use agents, test new approaches in real workflows, and create a shared model of trusted agentic development that teams choose to adopt. Poland base salary range: 272,000 PLN – 408,000 PLN The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities - Train, deploy, and serve ranking models in production, owning the full ML lifecycle - Build ranker features, training pipelines, and offline evaluation frameworks - Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) - Run embedding inference at billions-of-documents scale - Improve query understanding through intent modeling and query expansion - Build permissions-aware retrieval that respects multi-tenant boundaries - Create measurement frameworks to evaluate and improve search quality - Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements - Bachelor's degree in Computer Science, Machine Learning, or related field - 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval - Proven full ML lifecycle ownership: training, deploying, and serving models in production - Hands-on ranker model training: feature engineering, pipelines, offline evaluation - Experience building hybrid (lexical + vector) retrieval systems - Experience running embedding inference at large scale - Strong query understanding fundamentals: intent modeling, query expansion Preferred Qualifications - Permission-aware retrieval and multi-tenancy experience - Indexing large-scale user-generated content (not small or static datasets) - Hands-on experience with OpenSearch or Elasticsearch - Sharding, index management, and real-time ingestion at scale - Background in NLP, semantic search, or agentic retrieval - Experience with TypeScript in backend systems   Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE 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, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: NAMER and LatAm About the Team IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently — from identity and endpoint management to the platforms every team relies on to do their work. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops rather than leave it disjointed across teams. The team — a Technical Lead plus one or two AI Ops Engineers — reporting to the IT Business Systems Manager, and brings the same rigor IT Ops applies to systems and infrastructure to the design, deployment, and lifecycle management of AI solutions and the agents they power. About the Role We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business (People, Finance, Legal, and beyond) and engineering — building integrations, maintaining agents, supporting cost visibility, and helping train the org on AI best practices. This is a hands-on execution role: you will move quickly, ship real workflows, and help the team learn what works as we centralize AI Ops for the first time. Success This is a net-new function; specific goals will be set with your Technical Lead. Directionally, the team is measured on: - Measurable reduction in redundant or inefficient AI tool and model spend through right-sizing, routing, and cost visibility - A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk, adopted across teams - Agents and AI workflows built, deployed, and maintained cross-functionally (People, Finance, Legal, Engineering, and beyond) - Improved AI fluency and literacy org-wide, measured through training participation, adoption of approved tools, and reduced shadow-AI usage - Established identity, access, audit, and lifecycle practices for AI agents that satisfy Security and GRC requirements YOU WILL Build AI-Powered Solutions - Develop and deploy solutions using LLMs, automation frameworks, and internal tooling, for both business and engineering use cases - Integrate AI into existing systems (HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling) and legal infrastructure like CLM or Matter Management - Build workflows such as document generation, data extraction, knowledge retrieval, and decision support across systems and knowledge bases - Use modern integration standards (e.g., MCP) to give AI models and agents direct, secure access to internal knowledge and context Support Model Evaluation - Help test and benchmark AI models against accuracy, latency, cost, and safety criteria - Support model risk assessments and due diligence alongside Security and GRC - Help implement and maintain the internal model routing solution Support Cost Visibility - Help build dashboards and reporting for AI/LLM spend across teams and tools - Implement tagging, monitoring, and alerting for cost anomalies - Identify and execute on cost-optimization opportunities (prompt efficiency, caching, model right-sizing) Maintain Agent Infrastructure - Help provision, credential, and de-provision AI agent access - Support deployment, versioning, monitoring, and retirement of agents - Maintain and patch agent infrastructure and dependencies - Help maintain audit trails and logging for agent actions Deliver Training and Enablement - Design and deliver company-wide AI training programs tailored to different audiences — non-technical business users through engineers - Create lightweight playbooks, guides, templates, and reusable components for safe, effective AI adoption - Run onboarding sessions, office hours, and workshops to build AI fluency and drive adoption of approved tools and agents - Establish a feedback loop with users to continuously improve training content, tooling, and documentation YOU BRING You are not expected to have every skill below — tell us which are your strongest. - Experience building with modern AI/ML tools and frameworks - Experience building and consuming APIs, developing data pipelines, and architecting system integrations - Working knowledge of cloud infrastructure (AWS, GCP, or Azure) and experience hosting or operating services in production - Experience comparing and evaluating AI models across providers, including trade-offs between cost, latency, and quality - Comfort working with usage and billing data to build cost visibility, forecasting, or optimization - Ability to understand both business and engineering workflows and translate them into technical solutions - Experience working with or integrating business systems as well as engineering/developer tooling - Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences - Understanding of data privacy, security, and compliance considerations - Experience implementing safeguards in AI systems, including identity and access controls for automated/non-human actors 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: Berlin; Munich ROLE HIGHLIGHTS: - Program Director - Germany - Location: Germany (regular travel is expected) - we can provide relocation support - Department: Missions - Reports to: VP Missions Program - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: Define and lead ICEYE’s Missions delivery capability in Germany, driving strategic customer success, scalable program execution, and long-term mission growth across defense and intelligence customers. You will own the full lifecycle of customer missions—from contract strategy through delivery and renewal—serving as the senior accountable leader across engineering, product, operations, and commercial teams. You will set the standard for how ICEYE delivers sovereign and turnkey ISR missions, building the model, the team, and the customer relationships that underpin repeatable mission success. This role is central to ICEYE’s ambition to become the world’s leading provider of space-based ISR infrastructure. You will shape the Missions function in the region, influence how ICEYE engages at the highest levels of government, and contribute to the strategic and commercial direction of the business. The role is based in Germany with regular travel to Espoo (Finland) and to customer sites across the region as required. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. EXPECTED OUTCOMES   - Satellite Mission programs are delivered predictably on schedule, within budget, and meeting or exceeding agreed performance and quality targets, with the Director accountable for program-level health and risk posture. - ICEYE establishes and sustains trusted, senior-level partnerships with German defense and intelligence customers, reflected in strong satisfaction scores, program renewals, and expansion into new mission areas. - A scalable Missions delivery model is established in Germany — with the team structure, processes, tooling, and KPIs required to grow reliably as the customer base expands. - Commercial opportunities across renewal, expansion, and new mission areas are proactively identified, with the Director aligning signals and pursuit strategies with Sales and Product teams. - Strategic risks, dependencies, and customer escalations are owned and resolved at the Director level, ensuring continuous delivery and protecting the ICEYE relationship at all stakeholder levels. - Program management practices drive measurable improvements in delivery efficiency, scalability, and predictability across the German programs. - Stakeholders at all levels — from technical users to C-level sponsors — have timely, accurate visibility into program status, enabling informed decision-making and early intervention where needed.   WHAT WE’RE LOOKING FOR Must haves: - Strategic thinking and customer engagement experience, working at multiple levels of customer organizations — from technical users to C-level sponsors — while maximizing customer value through win-win solutions. - Experience of successfully building, leading, and scaling a customer engagement model, team, processes, tooling, and KPIs in a recurring B2B business; balancing people leadership, process discipline, and cross-functional collaboration. - Commercial acumen to identify and pursue renewal and expansion opportunities, feeding signals and aligning with Sales and Product teams. - 10+ years’ experience leading complex, multi-stakeholder programs in advanced technology environments (e.g. space, defense, telecommunications, or national security sectors). - Demonstrated track record of operating at Director or equivalent level, owning program portfolios and accountability for customer outcomes. - Proven experience building and leading high-performing teams in international, matrixed organizations. - Expertise in end-to-end program governance, planning, financial control, risk, and performance management at scale. - Ability to navigate ambiguity and drive decisions in high-stakes, time-pressured environments. - Exceptional communication and executive presence; credible with senior government, defense, and industry stakeholders. - Degree in business, engineering, or a related field. - You speak fluent German and English. - Must have or be able to obtain suitable security clearance in Germany. Nice to haves: - Experience in Earth Observation (EO), SAR, or remote sensing. - Background in sovereign or government-owned satellite missions. - Experience working with German/European defense and intelligence customers. - Knowledge of hardware, software, or embedded systems development in mission-critical environments. - Advanced degree (Master’s or equivalent) or relevant certifications (e.g. PgMP, PMI, or defense program management qualifications).   APPLICATION PROCESS - Initial interview with Talent Attraction - Hiring Manager interview with VP Missions Program - Case interview - Interview with CEO Germany - Final interview with SVP Missions - References WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Georgia About the job Location: Remote, outside Russia and Belarus Type: Full-time Time zone: CET or within ±3 hours About Transparent Hiring Transparent Hiring is a one-stop recruitment and relocation agency for IT and digital professionals looking to work and relocate in Germany and other European countries. We support the entire process — from finding a job and securing a visa to finding housing and settling in. We’ve been growing steadily for over 6 years, combining the flexibility of a startup with the reliability of an experienced international team. We are looking for an SMM Specialist who can take ownership of day-to-day social media content and help us grow our Russian- and English-speaking audiences across Instagram, Threads, and other marketing channels. This is a hands-on role for someone who understands social media beyond simply publishing posts. You should be comfortable coming up with content ideas, writing strong copy, creating visuals, producing Reels, following trends, and adapting content to different platforms and audiences. What You’ll Do • Manage day-to-day content for Instagram and Threads in Russian and English, with the possibility of expanding to TikTok in the future. • Write engaging social media copy with strong storytelling skills, including captions, hooks, CTAs and Stories. • Create and edit social media content in Figma, Canva and CapCut, including posts, carousels, Stories and Reels. • Develop content ideas and adapt relevant trends to our brand. • Prepare visuals for landing pages, email newsletters and other marketing materials when needed. • Use content performance metrics to improve future content. What we’re looking for • 2+ years of hands-on SMM experience. • Fluent Russian and strong written English (B2/C1+). • Excellent copywriting and storytelling skills. • Proficient in Figma, Canva and CapCut. • Strong understanding of current SMM trends and platform mechanics across Instagram, Threads and TikTok. • Good visual sense and attention to detail. • Creativity and willingness to suggest and test new ideas. • Ability to work independently, manage deadlines and take ownership of tasks. It would be a plus if you have • Experience with email marketing and newsletters. • Background in recruitment, HR, relocation, career or other expert-driven industries. Portfolio is required. Applications without a portfolio will not be considered. What We Offer • Work in a fast-growing startup where processes are still being built - your ideas can directly impact the outcome. • The opportunity to grow as an SMM specialist and take on more responsibility over time. • A wide range of tasks across content, visuals, and SMM - no routine “just posting” work. • Creative freedom. • Hands-on experience with real marketing goals and measurable results. • Direct feedback from a team with real experience in the German hiring market. • Strong portfolio cases you can use for future roles. Test Task As part of the selection process, you should be ready to complete a test task related to the role. The task is designed to understand how you approach content, copywriting and visual concepts. How to Apply Please send us: • Your CV • Your portfolio — mandatory • A short note about your experience in SMM and the types of content you have worked with We are looking for someone who can take ownership of content, bring ideas to the table, and turn them into high-quality social media content — from the first idea to the final post.

Location: Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Sofia, Bulgaria Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Munich Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Munich, Germany Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Product / Web Designer at junior level to join our APAC Partnerships team in Vladivostok, working with our HQ Design team. This role is the design half of a two-person build pair: you and the Partnerships Backend Engineer take an inbound partnerships inquiry and turn it into something a player actually sees — a co-branded web shop, a campaign landing page, a creator or affiliate destination page — and ship it together. You will design conversion-oriented commerce surfaces for the Traffic Source Partners we onboard, adapt Xsolla and partner brand systems into one coherent look per campaign, and build a reusable component library so the next campaign launches faster than the last one. You will hand off to engineering with real specs and then review the implementation until it matches. This is an entry-level design role with a live audience. We care more about your portfolio and your eye than your years of experience — recent graduates and self-taught designers with strong work are welcome. If you like designing things that get measured, and you want to see your work convert real traffic in APAC markets, we would love to hear from you. RESPONSIBILITIES Design partner-facing surfaces Design the frontend surfaces created for Traffic Source partnerships: co-branded web shop themes, campaign landing pages, affiliate and creator destination pages, promotional banners, and in-shop merchandising. Design responsive, mobile-first layouts with the purchase funnel in mind — clarity, hierarchy, trust signals, and a short path to checkout. Adapt Xsolla brand guidelines and each partner's brand into a single coherent visual system per campaign, without breaking either. Localise and adapt designs for APAC markets, accounting for language length, local conventions, and regional payment and merchandising context. Ship with engineering Work directly with the Partnerships Backend Engineer to take designs from Figma into working frontend — provide specs, states, breakpoints, tokens, and exported assets, then review the build until it matches the design. Build and maintain a reusable component and template library so new partner campaigns can be assembled rather than designed from scratch. QA implemented pages across browsers and devices and raise the gaps. Supporting work Create supporting collateral for partnerships inquiries: pitch visuals, one-pagers, deck slides, and social or creator kit assets. Collaborate with HQ Design, follow and contribute to the Xsolla design system, and keep design files, naming, and handoff documentation organised. Take feedback constructively from HQ Design, Partnerships, and partners, and iterate quickly. Track work in Jira and keep design documentation current in Confluence. REQUIREMENTS 1–4 years of experience in product, web, or UI design, or a strong portfolio of personal, freelance, or academic work. A portfolio is required for this application. Proficiency in Figma — components, auto-layout, variants, and prototyping. Solid grounding in layout, typography, visual hierarchy, colour, and responsive / mobile-first design. Working knowledge of Adobe Creative Suite (Photoshop, Illustrator) for asset production. An understanding of what makes a landing page convert, and a willingness to have your design judged on that. Able to work within an existing design system and brand guidelines rather than around them. Attention to detail and a high standard of quality in design execution. English sufficient for daily collaboration with the HQ Design team; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Basic HTML and CSS — enough to spec accurately and QA an implementation. Motion and micro-interaction work (After Effects, Framer Motion, Rive, Lottie). Experience designing e-commerce, storefront, or checkout flows. Experience with marketing landing pages, A/B testing, or conversion optimisation. Illustration, 3D, or custom asset creation skills. Familiarity with the gaming industry, creator and influencer marketing, or affiliate campaigns. Additional languages relevant to APAC coverage (Korean, Chinese, Japanese). Professional education in design or a related field. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full-time The Role As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root. You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard. The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere. The Mindset You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one. What You’ll Do 1. Build and Sustain the Hardware Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining. Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle. 2. Set the Engineering Standard Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines. Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets. 3. Lead JDM Execution Set technical direction and guide partners through design, validation, industrialization, production, and sustaining. Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex. 4. Make Quality Scale Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues. Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows. 5. Shape What’s Next Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences. Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs. Success Looks Like Hardware moves confidently from development through production and sustaining. Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow. JDM partners execute efficiently while Nex leads critical decisions and validates the evidence. Manufacturing and field issues become verified fixes and lasting improvements. Lessons from today’s products sharpen future technology and product choices. Every program leaves behind better tools, knowledge, standards, and engineering capability. Must Have Degree in Electrical or Electronic Engineering, or equivalent practical experience. 7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining. Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals. Demonstrated ability to evaluate technologies and components and turn findings into product recommendations. Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems. Experience producing detailed engineering requirements and verification criteria. Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports. Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action. Clear written and spoken English; working Mandarin for supplier and factory collaboration. Nice to Have Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories. Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging. Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing. Python or similar scripting experience for lab automation and data analysis. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

This is a contract/part-time role: 10-20 hrs/week with a rate of $40-50/hr. NOPE is an AI safety company focused on the proliferation of relationships between humans and AI and their impact on wellbeing and societal fabrics. They measure real conversations and relationships involving AI, track incidents, analyze regulations, and run evaluations on both raw LLMs and deployed AI. Their mission is to hold AI labs and products accountable for harms produced and to foster safe and aligned AI through proper governance and scrutiny. The Social Comms role involves increasing NOPE's social media presence and becoming an active participant in the global conversation around AI safety and alignment. Responsibilities include taking research and artifacts produced by NOPE and creating a consistent, human presence on social channels by deciding what gets posted, writing content, and engaging with researchers, journalists, builders, and policymakers. The role requires maintaining an authoritative voice without growth-hacking or engagement bait. Work is asynchronous, any timezone, with direct access to the team and unpublished materials. The person will have significant authorship over NOPE's blog, LinkedIn, other social accounts, public spaces, and private community spaces relevant to their work. Ideal candidate qualities: — Deep care about AI's impact on human relationships and social norms — Abstract understanding of LLMs and their flaws — Experience running or growing popular social accounts — Writes authentically without relying on AI to generate content — Ability to distill research into key points that resonate with people — Can engage thoughtfully with critics and strangers publicly — Good judgment on which social channels matter — Experience in civic domains, public-good, policy, trust-and-safety, or non-profits — Bonus: published material relevant to AI proliferation and risks Applicants should mention the word AWARD and tag RNDYuNjIuMjEwLjE5Nw== to confirm they read the job post fully.

Location: Philippines 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. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.   TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.   Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. - Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately. - Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs. - Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes. - AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy. CORE RESPONSIBILITIES: New Customer Onboarding - Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans. - Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed. - Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately. - Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up. Account Health Management - Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement. - Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks. - Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans. - Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups. - Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals. Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates. - Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency. - Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards. - Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers. AI Enablement & Agent Deployment - Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices. - Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists. - Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption. - Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows. - Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways. Customer Success & Expansion - Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts. - Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up. - Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy. Cross-Functional Collaboration - Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts. - Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples. - Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context. CORE SKILLS & COMPETENCIES: Technical Acumen Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.   AI Expertise Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.   Consultative Discovery Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.   Project & Program Management Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.   Data & Reporting Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.   Customer Engagement Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.   Account Ownership Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.   Collaboration & Influence Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations. AI-NATIVE CANDIDATE EXPECTATIONS: - Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes. - Can speak concretely about where AI added value, where human judgment was still required, and how success was measured. - For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture. INTERVIEW SIGNAL: BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES. 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: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing. So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written. Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us. An Organic Growth Manager here is a high-agency operator who: - treats SEO, AEO and GEO as one channel, not three disciplines; - turns observations into hypotheses, tests them, and scales what moves the number; - builds systems and automations instead of doing the same research by hand every week; - moves work through adjacent teams, not just through their own hands; - owns the line from visibility to sign-ups, not just rankings. WHAT YOU WILL OWN Visibility across search and AI assistants - Understand how Higgsfield and competitors appear across Google and across LLMs — and why; - Map how people actually ask for products in our category, and identify the queries worth winning; - Find the gaps and the weak spots, including results that currently work against us. The source ecosystem - Understand which sites, communities, creators and formats different engines trust and retrieve; - Shape what information exists about Higgsfield online and how our category gets described; - Work with content, product and external partners to turn that into things that actually get published. Measurement and experimentation - Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics; - Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work; - Continuously test new sources, formats and tools as the engines evolve. WHO WE'RE LOOKING FOR We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else. Must-have - A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours; - You turn data into decisions — and can explain why that decision and not another - Technically curious: you figure out new tools, systems and data on your own; - Has built or automated something before, rather than doing the same thing by hand every week; - Can move work through adjacent teams and external sites, strong cross-functional and partner skills - Fluent English, and comfortable working with content when needed; - High ownership: you don't wait for a task list, you understand the goal and figure out how to get there; Good to have - Experience in SEO, growth, analytics, content, engineering or automation; - Familiarity with LLM retrieval, RAG, or technical SEO; - Your own project, product or business — anything you built without a brief; - Strong understanding of the GenAI ecosystem. WHAT THIS ROLE IS NOT - It's not a channel with an existing playbook to execute; - It's not a role where someone hands you a task list; - It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in Almaty, Kazakhstan; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us;