SEO/AEO Consultant

🏢 Summary: AI GTM Engineer role focused on designing and building AI-driven go-to-market systems that improve pipeline, conversion, and lead quality. The position involves creating autonomous AI agents, automating lead discovery and scoring, and integrating AI across marketing and sales workflows. Starting in the Polish market, the role scales proven AI systems across international markets. 🗂️ Requirements: Experience building AI-driven workflows and agents, Hands-on experience with HubSpot and modern GTM stack, Strong understanding of B2B sales and marketing funnels, Ability to design end-to-end AI systems, Experience with lead enrichment, scoring, and personalization systems, Ability to define metrics and run experiments to evaluate AI performance, Fluency in Polish and English 📃 Skills: AI, HubSpot, Clay, n8n, Apollo, SEO, GEO, Automation, Enrichment, Scoring, Personalization, Outbound, Inbound, Data, Agents 🏢 Description: Elfsquad helps manufacturers scale customer-specific solutions without losing what makes them unique. We intend to grow the same way. We build AI into how our customers configure and quote; this role builds AI into how we go to market so our own growth reflects the way we build our product. This is not a traditional marketing, RevOps or automation role. It's an AI building role . You work closely with the marketing team, but you operate as an AI architect : you own the go-to-market engine. You design the system, build the parts that run it, and challenge how GTM is done rather than inherit it; measured on whether it actually moves the metrics that matter: qualified pipeline, conversion, cost per lead. A big part of the work is using AI directly in marketing: generating and adapting content, tailoring campaigns to each segment and persona, sharpening targeting and SEO , and running the test-and-learn loops that are too slow to do by hand. The other part is building smart AI agents; autonomous systems that take on the work themselves: researching accounts, enriching and scoring leads, personalizing outreach, and feeding clean signals back into the funnel. Together they turn tooling, data and AI models into systems that create real marketing leverage : more pipeline, better quality, and higher velocity. Poland is your starting point and touchstone: a new market where you build the systems from the ground up. Prove them here, then scale what works into Elfsquad's existing markets (Benelux, DACH and the Nordics) and into new ones. The AI GTM Engineer sits in Marketing, is part of the commercial team, and reports directly to the CCO. Your Role: Analyze existing marketing and sales processes (HubSpot, inbound, outbound, content, enrichment) and expose manual work, friction and inefficiencies. Test new AI tools, models and automation concepts, learn fast, and actively stop what doesn’t work. Design and actually implement AI-driven flows for lead discovery, enrichment, scoring and routing. Use AI to produce relevant, on brand content and campaigns (inbound, SEO/GEO, nurture) without sacrificing quality or brand voice. Set up outbound flows based on buying signals and intent, with deep personalization for complex buying committees, with the help of AI. Make the effect on pipeline, conversion and velocity measurable and report it honestly. Constructively challenge marketing and sales with insights and concrete proposals. Build and orchestrate AI agents that handle marketing and sales work end to end; systems that research, decide and act on their own, not just one-off automations. Set sensible guardrails: keep AI output accurate, on-brand and compliant Turn what works into something repeatable: document, templatize and package proven systems so they scale from one market into other markets and can be run by the team, not only by you. You: Have built AI systems yourself : designing and shipping AI-driven workflows (agents, enrichment, scoring, personalization), not just using them. Using a chatbot doesn't count; building systems does. Know where to point AI at a B2B funnel : a solid grasp of B2B sales and marketing dynamics (ICP, buying committees, pipeline, what actually moves it), and a clear sense of where AI creates leverage and where it doesn't. Are hands-on with HubSpot and the modern, AI-enabled GTM stack : enrichment, outreach and data tooling (e.g. Clay, n8n, Apollo), wired together into working flows. Can tell whether the AI is actually working: define the right metric, run a clean experiment, evaluate agent/model output, and tell signal from noise. Design AI systems end-to-end : think about how the parts connect, not patching point problems with a one-off prompt. Have judgment on quality and brand: you can tell good output from plausible-looking output, and hold the bar even when AI makes it easy to ship fast. Are fluent in Polish and English , verbal and written (German is a plus). What We Offer: We believe that great results come from people who feel trusted, supported and set up to do their best work. That's why we offer benefits that are meaningful and practical, designed for real life. Compensation - a good salary based upon knowledge and experience Resources - all the tools you need for the job, including a MacBook ready from day one and a workspace in the our office in Gdansk Hybrid set-up - you get to work from our office in Gdansk, with the occasional visits at our HQ in The Netherlands, and office in Germany. Work from home - possibility to work from home. Quarterly meetings - every quarter we get together for alignment, collaboration, and team building, each time in a different city. About Elfsquad We build CPQ software for manufacturers with complex, configurable products, such as agricultural equipment, pumps and valves, packaging machinery, and elevators. Products that need real configuration logic, not spreadsheet workarounds. This is possible thanks to our core values: What you see is what you get We're not here to chase hype or promise the impossible. Just honest, solid software that solves real problems. For the Makers We exist because of our customers. Ambitious in vision, driven in action We want to build the best CPQ software for manufacturers, but on our terms: independent, grounded, and built to last. Winning as one team No egos, just people who've got each other's backs and genuinely care about building something customers need. Interested? Send your application and CV to hiring@elfsquad.io. For more information, you can contact Sofia Cotinghi at phone number +31 6 437 948 67. Acquisition is not appreciated.

🏢 Summary: Frontend Engineer role focused on building and evolving AI-driven features for a product that monitors brand visibility in LLM-generated answers. The position involves rapid prototyping, close collaboration with backend and design, and contributing to LLM-related research in a fast-changing environment. It emphasizes ownership, experimentation, and shipping high-quality React-based solutions. 🗂️ Requirements: Minimum 7 years of frontend engineering experience, Strong expertise in React, Strong expertise in TypeScript, Strong expertise in Apollo, Strong expertise in GraphQL, Experience working with evolving or partially defined backend APIs, Experience building AI-powered user-facing products, Ability to prototype without finalized designs, Experience using AI coding tools effectively 📃 Skills: React, TypeScript, Apollo, GraphQL, Node.js, Fastify, LLMs, SEO 🏢 Description: About Your Team: Join the AI Tracker team – building Surfer’s AI-driven search visibility product. SEO is evolving. It’s no longer just about Google rankings — it’s about how brands appear inside LLM-generated answers. AI Tracker is our response to that shift. We build a product that monitors how LLMs talk about brands, analyzes AI visibility across queries, and turns raw AI data into actionable recommendations. This isn't a pixel-perfect feature factory with a fixed roadmap. This is a product operating at the intersection of SEO, AI, LLMs and experimentation — where direction evolves as the market evolves. We’re a remote-first but if you ever crave some in-person energy, we’ve got a cozy office in Wrocław where the magic happens (and coffee never runs out ☕). You Will Be Responsible For: Building and maintaining frontend features for AI Tracker in a rapidly evolving environment. Designing AI-driven functionalities with a strong eye for how users will interact with them. Collaborating closely with backend engineers and designers in a fast-iteration environment. Contributing to LLM research and helping shape product direction. Taking ownership from exploration to delivery. Using AI coding tools effectively to speed up development. This role is not about polishing pixels for weeks. It’s about shipping, iterating, learning — and sometimes pivoting. You may be a good fit for this role if you: Have at least 7 years of experience in frontend engineering. Have worked in dynamic, innovative product companies where there is no trade-off between speed and quality. Have strong expertise in React, TypeScript. Have a strong sense of UI sensibility and design craft — you care about how things look and feel, not just how they work. Are comfortable working with evolving or partially defined backend APIs. Can prototype quickly, even without finalized designs. Thrive in dynamic environments without rigid roadmaps. Are self-driven, proactive, and naturally take ownership. Understand business context — not just technical implementation. Have experience building AI-powered, user-facing products. Communicate openly, challenge ideas constructively, and value collaboration. Stay up to date with AI and LLM developments. What we offer: 27 days PTO per year. Paid sick leave -  your health comes first. Medical insurance via SafetyWing. Multisport card (50% covered). Development budget: $1,000 annually for your growth and learning adventures.

🏢 Summary: Principal Applied AI Engineer role focused on designing and delivering end-to-end AI and agentic systems to enhance products, internal tools, and AI-assisted software development workflows. The position involves solving high-impact problems using LLMs, automation, and strong backend engineering practices. This is a hands-on senior role requiring architectural ownership and production-grade implementation. 🗂️ Requirements: 8+ years of software engineering experience, Strong system design skills, Strong backend engineering skills, Experience building and shipping AI or LLM-based solutions, Experience with automation, workflows, or agent-like systems, Ability to move from problem definition to architecture to implementation, Hands-on experience writing production code, Fluency in Polish (C1), Fluency in English (C1), Experience influencing technical decisions across teams 📃 Skills: LLM, AI, Automation, Agentic, Workflows, Backend, SystemDesign, TypeScript, Node.js, Orchestration, APIs, Cloud, Scalability, Performance, Reliability, Security 🏢 Description: We are the company behind CKEditor — an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Your role: We’re looking for a Principal Applied AI Engineer to solve high-impact problems across our products and internal systems using a pragmatic combination of software engineering, systems thinking, and AI. You will work across CKEditor AI & Cloud Services, internal tools, and cross-functional initiatives, identifying where AI or automation can create real value, shaping the solution, and building it end to end. A significant part of this role is improving how software is built inside the company. You will design and implement agentic workflows and AI-assisted development systems that enhance how engineers write, review, test, and operate software. You are expected to use AI as part of your own daily engineering workflow - not just build AI systems for others. This role is for a senior hands-on engineer who is comfortable operating in ambiguity, moving from problem definition to architecture to implementation, and influencing how other teams adopt AI effectively. Key Responsibilities: Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. Build systems involving LLMs, integrations, and multi-step or agentic workflows. Make sound engineering decisions across model choice, orchestration, evaluation, latency, cost, reliability, security, and maintainability. Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. Influence technical direction across teams, define best practices, and help others adopt AI effectively. To be successful in this role you need the following: 8+ years of experience in software engineering. Strong system design and backend engineering skills. Experience building and shipping AI / LLM-based solutions. Ability to move from problem definition → architecture → implementation. Experience with automation, workflows, or agent-like systems . Hands-on approach and willingness to write production code. Fluency in Polish and English (minimum C1 level). Strong engineering judgment (including knowing when not to use AI). Experience working across teams and influencing technical decisions. Curiosity, ownership, and interest in applying AI in practice. Nice to have: Experience with TypeScript and Node.js (our primary stack), or willingness to work extensively in this environment. Experience with AI in developer tooling or internal systems. Familiarity with agentic systems or orchestration frameworks. Experience with production systems (performance, reliability, scalability). Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 38.000 - 45.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day - our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 2 weeks of paid parental leave for our contractors. Recruitment process HR interview. Technical interview with Senior Director of Engineering. Paid task - a practical assignment reflecting real challenges you may encounter in this role. Solution review discussion - a conversation about your approach, decisions, and trade-offs in the task.

🏢 Summary: Technical Product Manager role focused on building and scaling AI capabilities at the platform and backend level, powering multiple products. The position bridges product strategy and deep engineering collaboration, shaping AI-driven features, APIs, and infrastructure for reliability and scalability. You will own end-to-end product delivery for AI and cloud services, translating business needs into robust technical solutions. 🗂️ Requirements: Technical background in software development or hands-on engineering role, Ability to read code and participate in architecture discussions, Experience working with backend or platform products, Strong understanding of LLMs and AI system design, Experience with APIs and service architecture, Ability to define and manage technical product requirements, Experience delivering scalable and reliable technical solutions, Fluent English communication skills 📃 Skills: AI, LLMs, APIs, Backend, Architecture, Cloud, Infrastructure, Prompting, Observability, Permissions, RateLimiting, Streaming, ModelManagement, Evaluations 🏢 Description: We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Description: As a Technical Product Manager, you will help shape how AI becomes a real product capability across CKEditor. This role sits at the intersection of product thinking, engineering depth, and developer empathy. You’ll work closely with engineers, designers, and business stakeholders to turn AI opportunities into product decisions that are useful, scalable, and worth shipping. When this role works well, teams move faster, product decisions get sharper, and AI capabilities feel like a real extension of the product rather than a layer added on top. You won’t just help define features. You’ll help define how we build in this space. You'll work on the backend and platform layer that powers multiple products across CKEditor. This department includes the AI Services team, which focuses on agent harnessing, model management and evaluations, streaming, rate limiting, and permissions, as well as Cloud Services teams responsible for real-time collaboration infrastructure. What those teams share is a platform-first mindset: you need to care about APIs, service architecture, and the reliability that many products and teams depend on every day. On the AI side, you also need to understand what LLMs can and can't do, and why that matters at the infrastructure level. If you have a stronger background with the product surface and the design - and would like to continue growing in that direction - take a look at our counterpart role, Technical Product Manager. Key responsibilities: Help shape the product vision and roadmap for our features. Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now. Collaborate with engineering teams to translate business needs into technical requirements. Manage the product lifecycle from conception through release. Define and track product requirements, and ensure delivery of high-quality and scalable solutions. Coordinate with sales, marketing, and support teams to maximize product success. To be successful in this role you need the following: Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice. You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands. You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them. You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product leaders, technical leaders, and go-to-market teams, and you can discuss this work credibly with engineers and executives while driving clarity and momentum without formal authority. You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience. Experience that helps: We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about: You've worked on platform or backend products that serve multiple teams or product surfaces. You understand the difference between shipping a feature once and building a capability others will depend on every day. You can discuss prompt engineering, model behavior, evaluations, and operational tradeoffs without hand-waving. You know that AI quality is not just about picking a model; it's about system design, guardrails, iteration, and measurement. You've worked with APIs, service architecture, observability, permissions, rate limits, or other platform concerns that determine whether a technical product is reliable at scale. Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 22.000 - 28.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day – our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 26 days of paid leave for our contractors. 2 weeks of paid parental leave for our contractors. Recruitment process: HR interview, ~ 45 min Interview with the Hiring Manager (Senior Technical Product Manager) and the Engineering Manager, ~ 1,5h Interview with the Director of Engineering, ~ 30 min In person deep dive task

🏢 Summary: Senior Product Engineer role focused on building full-stack applications, AI-assisted workflows, automation systems, and cloud infrastructure in a remote-first environment. The position emphasizes end-to-end ownership, AI-native development practices, and delivering measurable business impact across multiple technical domains. 🗂️ Requirements: Experience building production web applications, Experience with modern application frameworks, Experience designing A/B testing frameworks, Knowledge of cloud infrastructure, Experience with relational databases and query optimization, Proficiency with Git-based workflows and CI/CD, Ability to use AI-assisted development tools in production, Strong architectural and systems thinking, Ability to independently deliver complex software systems, Authorization to work in the United States 📃 Skills: PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, Git, CI/CD, LLMs, RAG, Embeddings, Containerization, Orchestration 🏢 Description: What makes TechnologyAdvice unique is the breadth of problems our teams solve. Our engineers work across content platforms, data products, AI-powered workflows, lead generation systems, revenue operations, analytics, and internal business tools. Rather than being confined to a single product area, engineers have the opportunity to create impact across nearly every part of the business. Our Engineering Team builds and maintains the platforms, data pipelines, automation systems, and infrastructure that power the company. We believe exceptional engineers create value by solving business problems, not just writing code, and we empower our teams to work directly with stakeholders to identify opportunities and deliver solutions. We are a lean, high-leverage engineering organization where individual engineers can have outsized influence on company outcomes. Unlike many engineering roles focused on a single product, you'll have the opportunity to work across content platforms, revenue systems, AI workflows, analytics, automation, and internal business tools. We value ownership, execution, and business impact over years of experience. Exceptional candidates who consistently turn ideas into production systems and demonstrate extraordinary leverage through AI-assisted development are encouraged to apply. The opportunity We're seeking a Senior Product Engineer who uses AI as a core part of their engineering workflow. You'll leverage modern AI tools to accelerate software delivery while maintaining high standards for architecture, reliability, security, and maintainability. We believe exceptional engineers can create outsized business impact when empowered by modern AI tools, and we're building around that philosophy. As an individual contributor on our distributed team, you'll independently identify opportunities, define solutions, and deliver systems from concept to production. You'll work across the full lifecycle of software development—including discovery, architecture, implementation, deployment, and ongoing iteration—while collaborating closely with engineers, business stakeholders, and operational teams throughout the organization. Success in this role is measured by business impact, speed of execution, quality of solutions, and the ability to independently identify and deliver high-value opportunities. If you thrive in ambiguity, enjoy solving real business problems, and are excited by the idea of using AI to increase your engineering leverage, we'd love to talk. The best candidates for this role are naturally curious, highly autonomous, and energized by identifying opportunities that others overlook. What you'll do - Apply AI-assisted development practices to rapidly prototype, validate, and ship production-ready solutions - Identify opportunities across the business where software, automation, data, or AI can create meaningful operational, product, or revenue impact - Own solutions end-to-end—from discovery and scoping through architecture, implementation, deployment, measurement, and ongoing iteration - Collaborate directly with business stakeholders to understand problems, define solutions, communicate trade-offs, and measure outcomes - Design, build, and maintain full-stack applications, backend services, automations, and internal tools that drive business value - Contribute to architectural decisions, technical strategy, and long-term platform evolution - Work directly with cloud infrastructure and edge platforms, including AWS and Cloudflare - Monitor, troubleshoot, and improve system reliability, observability, performance, and operational excellence - Conduct thoughtful code reviews, uphold high engineering standards, and mentor other engineers - Continuously evaluate new technologies, AI capabilities, and development practices that can increase team effectiveness and engineering leverage Who you are Product Ownership & Execution - Demonstrated ability to move from ambiguous business problems to deployed solutions, collaborating directly with stakeholders throughout discovery, delivery, and measurement - Proven track record of independently delivering complex software systems and business outcomes with minimal oversight - Strong judgment in evaluating build-vs-buy decisions and identifying opportunities to leverage existing platforms, automation, and AI before building custom solutions AI-Native Engineering - Demonstrated ability to effectively leverage AI-assisted development tools in production environments while maintaining high standards for quality, security, performance, and maintainability - Strong systems thinking and architectural judgment to validate, refine, and extend AI-generated solutions Technical Expertise - Experience building and maintaining production web applications - Comfortable working within modern application frameworks - Experience designing and implementing experimentation and A/B testing frameworks - Working knowledge of cloud infrastructure - Solid experience with relational databases, including writing and optimizing queries both within and outside of ORMs - Proficiency with Git-based development workflows, code reviews, CI/CD pipelines, and automated deployment practices Collaboration & Communication - Strong communication skills and the ability to collaborate effectively across technical and non-technical stakeholders in a globally distributed organization - Self-driven, highly autonomous, and comfortable operating in a remote-first environment while managing priorities and consistently delivering results Experience with PHP, Python, TypeScript, Laravel, Astro, AWS, Cloudflare, MySQL, Datadog, PostHog, LLM APIs, embeddings, RAG architectures, agent frameworks, infrastructure-as-code, containerization, or orchestration is helpful. Engineering Culture - We ship frequently — small, incremental changes deployed via GitOps - We embrace AI — use of AI-powered tools such as Cursor, Claude, and ChatGPT to accelerate development - We own our infrastructure — engineers are empowered to improve the systems they build - We optimize for outcomes — engineers are encouraged to identify opportunities, challenge assumptions, and solve business problems What we offer you - Career growth opportunities with mentorship and leadership programs - Flex Fridays with adjustable schedules - Remote-first work environment - Flexible PTO - Medical, dental, and vision coverage - Life, AD&D, short-term, and long-term disability insurance - 401K with company match - Paid parental leave - Wellness perks and fitness reimbursements - Pet insurance - Speaker series bonus opportunities - Book reimbursement program - Bucket list benefit after 3 years - In-office catered lunches Work authorization Employer work visa sponsorship and support are not provided for this role. Applicants must be currently authorized to work in the United States at hire and maintain authorization throughout employment. Salary Range Annual pay range: $160,000—$230,000 USD Pre-employment screening required. Any AI-generated or incomplete application answers will be auto-rejected.

🏢 Summary: Principal Applied AI Engineer role focused on designing and delivering end-to-end AI and automation solutions across product and internal systems. The position involves building production-ready LLM-based systems, defining architecture, and influencing AI adoption across teams. It requires a hands-on senior engineer able to move from problem definition to scalable implementation. 🗂️ Requirements: 8+ years of software engineering experience, Strong system design skills, Strong backend engineering skills, Experience building and shipping AI or LLM-based solutions, Experience with automation, workflows, or agent-like systems, Ability to design end-to-end architectures and implement production systems, Hands-on experience writing production-quality code, Experience influencing technical decisions across teams, Fluency in Polish (C1+), Fluency in English (C1+), Strong engineering judgment 📃 Skills: AI, LLM, Backend, SystemDesign, Architecture, Automation, Workflows, Scalability, Reliability, Performance, Polish, English 🏢 Description: We are the company behind CKEditor — an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Your role: We’re looking for a Principal Applied AI Engineer to solve high-impact problems across our products and internal systems using a pragmatic combination of software engineering, systems thinking, and AI. You will work across CKEditor AI & Cloud Services, internal tools, and cross-functional initiatives, identifying where AI or automation can create real value, shaping the solution, and building it end to end. This role is for a senior hands-on engineer who is comfortable operating in ambiguity, moving from problem definition to architecture to implementation, and influencing how other teams adopt AI effectively. Key Responsibilities: Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. Build systems involving LLMs, integrations, and multi-step or agentic workflows. Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. Influence technical direction across teams, define best practices, and help others adopt AI effectively. To be successful in this role you need the following: 8+ years of experience in software engineering. Strong system design and backend engineering skills. Experience building and shipping AI / LLM-based solutions. Ability to move from problem definition → architecture → implementation. Experience with automation, workflows, or agent-like systems . Hands-on approach and willingness to write production code. Fluency in Polish and English (minimum C1 level). Strong engineering judgment (including knowing when not to use AI). Experience working across teams and influencing technical decisions. Curiosity, ownership, and interest in applying AI in practice. Nice to have: Experience with TypeScript and Node.js (our primary stack), or willingness to work extensively in this environment. Experience with AI in developer tooling or internal systems. Familiarity with agentic systems or orchestration frameworks. Experience with production systems (performance, reliability, scalability). Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 38.000 - 45.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day - our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 2 weeks of paid parental leave for our contractors. Recruitment process HR interview. Technical interview with Senior Director of Engineering. Paid task - a practical assignment reflecting real challenges you may encounter in this role. Solution review discussion - a conversation about your approach, decisions, and trade-offs in the task.

🏢 Summary: Engineering leadership role to build and scale an AI Labs team developing autonomous AI agents for enterprise commerce. Responsible for defining the architecture, shipping production-grade agentic AI systems, and driving AI-assisted development at startup speed within a pre-IPO environment. The role combines hands-on technical direction with ownership of infrastructure, quality, and engineering execution. 🗂️ Requirements: Proven experience building and scaling high-performing engineering teams, Hands-on expertise in software architecture and system design, Experience shipping AI or LLM-based products to production, Deep knowledge of LLM orchestration and agent architectures, Experience with AI-assisted development tools in engineering workflows, Ownership of infrastructure efficiency, reliability, and product quality metrics, Ability to operate at startup pace with rapid release cycles, Onsite presence in Mountain View, CA 📃 Skills: LLMs, GPT-4, Claude, AgenticAI, Architecture, Orchestration, AIDevelopment, Cursor, OpenSource, Infrastructure, DistributedSystems 🏢 Description: CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week. 2,200+ Customers 10 of Top 12 CPG Companies 900+ Retailers Connected $200M+ Raised Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.The Problem: We have thousands of enterprise users, proven product-market fit across digital shelf analytics, retail media, and sales operations, and the Fortune 100 running on our platform. That part works. Now we are building something new: autonomous AI agents that are already in customer hands and scaling fast. This is a 0-to-1 build inside a company that has the distribution, the data, and the customers to make it real. The AI Labs team operates as a startup within the company. It needs its own engineering leader. Someone who can recruit a world-class team in Mountain View, set the technical direction for agentic AI in commerce, and ship at a pace that matches the opportunity. We have engineering teams across the US, India, Canada, and the UK. Mountain View is the center of gravity for AI leadership. This role reports directly to the Founders. We ship with Claude, GPT-4, and open-source models in production. Our engineers already write the majority of code with AI. Some things are great. Some things need to be rebuilt. The next leader will know the difference. What You'll Do: Build the Future of Commerce AI Architect and evolve the platform for the agentic era. The technical foundation needs to support agents that operate autonomously across content, media, and sales. You will decide what gets built, how it gets built, and what gets thrown away. Push the frontier on AI-assisted development. We already lead most companies in AI code contribution. Claude Code, Cursor, and the next generation of agentic dev workflows should be standard across the org. As a startup, we should be ahead of everyone else on this. Ship AI agents into production with speed and reliability. Our agents are already in Fortune 100 workflows and scaling fast. Engineering needs to deliver new capabilities on a weekly cadence. Be the technical face of the company externally. Our AI Brand positioning depends on engineering leaders who can speak credibly about what we are building. Conference talks, blog posts, recruiting events. Build the Team Recruit and retain world-class engineering talent, starting with Mountain View. You will be measured on the quality of people you bring in and the quality of people you develop. Build a strong engineering leadership bench. We need senior leaders who can independently own large surface areas and represent engineering with authority across the company. Create an environment where the best engineers want to stay, grow, and recruit their friends. Every hire should raise the average. Own Engineering Execution Own product quality, infrastructure efficiency, and engineering velocity. You set the metrics, you hit them. Drive continuous improvement in margins and cost structure. We have already made dramatic improvements in infra costs and product reliability. You will own the next chapter. What You'll Bring: This is not a caretaker role. We need a builder. Here is what matters: You have built and scaled engineering teams. You have taken a team from good to great. You know how to hire senior talent, develop middle managers, and create a culture where A-players attract more A-players. Ideally you have done this at a pre-IPO company scaling through a similar inflection point. You are technical and hands-on. You can go deep on architecture discussions, review technical designs, and earn the respect of senior engineers. You do not need to write code every day, but you need to be able to tell when code is good and when it is not. You are AI-native. You personally use AI development tools. You have opinions about LLM orchestration, agent architectures, and how AI changes the software development lifecycle. You are excited about a world where AI writes most of the code and engineers focus on architecture, judgment, and customer impact. You operate with urgency. Startup pace. Weekly shipping cadence. You do not tolerate multi-month planning cycles for things that should take days. You bias for action and course-correct fast. You are a talent magnet. The best engineers you have worked with want to work with you again. You have a network of strong technical leaders you can bring in. You know the difference between hiring for pedigree and hiring for signal. You want to be in the room. This is an onsite role in Mountain View. You will work closely with the Founders, product, and customer success. Our best decisions happen face-to-face. Compensation and Benefits: Base: Competitive with top-tier Silicon Valley companies. Commensurate with experience. Equity: Significant pre-IPO stock options. This is a leadership seat and the equity reflects that. We are at a stage where senior hires still get meaningful ownership. Benefits: Full medical, dental, vision. 401(k). Unlimited PTO. Location: Mountain View, CA. Onsite. 15 minutes from Stanford campus. Why Join Now: The window is now. The company has product-market fit, revenue, and customers. The AI Labs team is being built right now. In 12 months this team will be set. The founding members will define the culture, the architecture, and the trajectory. This is that moment. Real AI, not AI theater. Most companies are bolting AI onto legacy products and calling it innovation. We are rebuilding the entire platform around autonomous agents. Our agents are already in production, already in customer workflows, already making decisions. If you want to lead a team doing real AI, this is it. Fortune 100 scale. Your decisions will directly affect how 2,200+ brands run their ecommerce. The Fortune 100 uses our platform to manage billions of dollars in commerce. This is not a sandbox. Equity upside. Pre-IPO. $200M+ raised from tier-one investors. The economics of joining at this stage, in this role, are compelling. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

🏢 Summary: Technical Product Manager role focused on shaping and delivering AI capabilities within a rich text editor platform, combining product ownership with strong engineering depth. The position drives day-to-day prioritization, translates business needs into technical requirements, and ensures scalable, high-quality AI features integrated into real-time collaborative editing workflows. It requires hands-on involvement with engineering teams to ship AI-powered product experiences from conception to release. 🗂️ Requirements: Technical background in software development or hands-on engineering role, Ability to read code and participate in architecture discussions, Experience delivering AI-powered products or features, Understanding of LLMs and prompt engineering concepts, Experience translating business needs into technical requirements, Ownership of product lifecycle from conception to release, Experience working with APIs and scalable systems, Fluent English communication in technical contexts 📃 Skills: AI, LLM, Prompting, APIs, Architecture, SaaS, Collaboration, UX, Agile, Backlog 🏢 Description: We are the company behind CKEditor – an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Description: As a Technical Product Manager, you will help shape how AI becomes a real product capability across CKEditor. This role sits at the intersection of product thinking, engineering depth, and developer empathy. You’ll work closely with engineers, designers, and business stakeholders to turn AI opportunities into product decisions that are useful, scalable, and worth shipping. When this role works well, teams move faster, product decisions get sharper, and AI capabilities feel like a real extension of the product rather than a layer added on top. You won’t just help define features. You’ll help define how we build in this space. You’ll work more closely with the product surface: how AI shows up in editing workflows, where it saves time, how it earns user trust, and how it improves the experience for developers and end users. CKEditor AI brings AI directly into the editor through capabilities like chat, review, and translation, helping teams create and improve rich text content without leaving their workflow. You’ll work on what is one of the most advanced rich text editing platforms on the market, combining AI capabilities with real-time collaboration for products where content is core to the user experience. If you have a stronger background in the platform layer, backend, and APIs - and would like to continue growing in that direction - take a look at our counterpart role, Technical Product Manager. Key responsibilities: Help shape the product vision and roadmap for our features. Drive prioritization day to day: make clear tradeoffs between user value, technical complexity, speed, and quality. Keep the team focused on what matters most right now. Collaborate with engineering teams to translate business needs into technical requirements. Manage the product lifecycle from conception through release. Define and track product requirements, and ensure delivery of high-quality and scalable solutions. Coordinate with sales, marketing, and support teams to maximize product success. To be successful in this role you need the following: Engineers forget you're a PM. You come from a technical background (whether that's software development or another hands-on technical role), and it shows. You can read code, hold your own in architecture discussions, and understand constraints without needing them explained twice. You ship, not just plan. Within 3 months, you'll be expected to be productive in the trenches. This isn't a role where strategy fills your calendar. You own the day-to-day scope and delivery alongside your engineering and design counterparts, and you move at the pace the work demands. You're comfortable owning hundreds of small decisions, every day. High-level strategy will be covered by product and technical leaders, with your help. But the details are yours. You'll make judgment calls constantly, and you won't wait for permission to make them. You take AI seriously and you lead well in high-stakes environments. AI is our top product priority right now. You understand how LLMs work, what makes a prompt engineering approach sound or fragile, and why model behavior matters to the product experience. You'll be in conversations with product leaders, technical leaders, and go-to-market teams, and you can discuss this work credibly with engineers and executives while driving clarity and momentum without formal authority. You communicate clearly across very different audiences, in fluent English. You can explain a technical tradeoff to a non-technical stakeholder and an AI product decision to an engineer, on the same day, without losing either audience. Experience that helps: We care more about what you've accomplished than CV line items. If you've shipped products that users and developers love, and can discuss technical tradeoffs, we want to talk regardless of your education or exact years of experience. We'd love to hear about: You've worked on product experiences where the interface matters as much as the model behind it: writing tools, editing workflows, review systems, or other products where users stay in flow only if the UX is fast, trustworthy, and clear. You've worked on enterprise-grade products where quality is non-negotiable and the details are what separate good from great. You understand content processes: how teams create, review, and publish content, and you can see how a product decision in an editor ripples through an entire workflow. Experience with rich text editing, document-centric products, or real-time collaboration is especially relevant. Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 22.000 - 28.000 PLN + VAT or its equivalent on the employment contract. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day – our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 26 days of paid leave for our contractors. 2 weeks of paid parental leave for our contractors. Recruitment process: HR interview, ~ 45 min Interview with the Hiring Manager (Senior Technical Product Manager) and the Engineering Manager, ~ 1,5h Interview with the Director of Engineering, ~ 30 min In person deep dive task

🏢 Summary: Engineering role focused on building and scaling AI-powered backend services for CKEditor 5, integrating LLM providers to deliver intelligent text processing features. The position involves designing production-grade APIs, real-time streaming, and event-driven architectures using TypeScript and Node.js. It combines AI integration with robust backend development in a multi-service environment. 🗂️ Requirements: 5+ years of software development experience, Strong proficiency in TypeScript, Strong proficiency in Node.js, Experience building REST APIs, Experience with PostgreSQL, Experience with message queues, Experience with Docker, Experience developing backend services, Fluency in Polish (C1 minimum), Good command of English (B2 minimum) 📃 Skills: TypeScript, Node.js, PostgreSQL, Docker, REST, OpenAI, Anthropic, Gemini, AWS, SQS, SNS, S3, ECR, WebSockets, Streaming, OpenTelemetry, LLM, AI 🏢 Description: We are the company behind CKEditor — an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Your role: As an Engineer on our AI team, you will drive the evolution of AI capabilities powering CKEditor 5 — working at the intersection of AI and content creation, where LLMs meet their most natural application: text processing. You'll design prompt strategies, integrate models from providers like OpenAI, Anthropic, and Google Gemini, and build intelligent features such as contextual text predictions, automated content generation, and advanced text processing. Check out what we've built so far at https://ckeditor.com/ckeditor-5/demo/ai and imagine where you could take it next. Our core stack is TypeScript and Node.js. We're looking for an engineer with genuine passion for AI and a solid backend foundation — someone who can build production-grade services, not just prototypes, and who balances cutting-edge innovation with robust implementation. Key Responsibilities: Design, build, and maintain backend services for CKEditor 5 - including REST APIs, real-time streaming, event-driven processing, and data persistence. Build and maintain a multi-service architecture with message queues, caching, and async communication patterns. Engage in code reviews, pair programming, and cross-functional collaboration to ensure the highest quality results. Write clean, maintainable, and well-structured code, balancing readability with appropriate documentation. Share best practices on programming standards, tools, and processes to foster continuous improvement. To be successful in this role you need the following: Over 5 years of software development experience. Strong proficiency in TypeScript and Node.js. Experience building and maintaining backend services - REST APIs, relational databases (PostgreSQL), message queues, Docker. Fluency in Polish (minimum C1) and good command of English (minimum B2) Excellent problem-solving skills and the ability to think critically and creatively. Outstanding communication skills, both verbal and written. Nice to have: Experience integrating third-party APIs (LLM providers, external services). Understanding of AI/LLM concepts - prompt engineering, function/tool calling, streaming. Experience with cloud infrastructure (AWS - SQS/SNS, S3, ECR). Familiarity with observability tools (OpenTelemetry, tracing) Curiosity about AI and willingness to learn how LLMs work. Experience with event-driven architectures and real-time data processing (streaming, WebSockets, or similar). Why join CKSource: Our people are a huge part of what makes CKSource a great place to work! Aside from a great team, some of our benefits include: B2B contract-based monthly remuneration is 27.000 - 32.000 PLN + VAT or its equivalent on the employment contract. Quarterly and annual financial bonuses depending on the company’s performance. Flexible schedule and the possibility to work fully remotely. Professional development resources (up to 5 days of additional leave and 6 000 PLN yearly). LinkedIn Learning access. Extra leave for Tiugo Day - our company’s foundation day and your birthday. English lessons with a native speaker and an online language platform where you can learn English, Spanish, and German. Access to a mental health and well-being platform with 24/7 dedicated psychological support. Private medical care (Enel Med or Medicover) and Multisport card. 2 weeks of paid parental leave for our contractors. Recruitment process HR interview. Technical interview with Jacek Bogdański (Engineering Manager). Interview with Bartek Czerwonka (Senior Director of Engineering).

🏢 Summary: The role focuses on configuring and testing a proprietary SEO rendering tool to ensure websites are rendered correctly as search engines see them. You will run rendering tests, analyze loaded scripts and resources, adjust settings, and iteratively fine-tune configurations based on observed results. The work is systematic, detail-oriented, and centered on technical analysis rather than coding. 🗂️ Requirements: Understanding of how browsers load and render webpages, Knowledge of HTML, CSS, and JavaScript roles in rendering, Understanding of script and resource dependencies, Ability to form hypotheses and test them methodically, Ability to analyze rendering results and draw conclusions, High attention to detail and precision, Comfort with trial-and-error technical testing, English proficiency at B2 level or higher 📃 Skills: HTML, CSS, JavaScript, DevTools, QA, Debugging, Testing, SEO, Rendering, Networking 🏢 Description: Company Overview: Our EU-based client is a leading enterprise SEO platform used by large global brands to improve their visibility in search engines. Their product crawls websites at scale, analyzes technical issues, and helps teams understand how search engines see and render their pages. Role Objective You will work inside a proprietary tool that renders websites the way a search engine would. Your job is to configure that tool correctly for each website — adjusting which scripts are allowed to run, which resources are blocked, and how the rendering environment is set up. You are not writing code. You are running tests, observing what happens, and adjusting settings until the output looks right. Think of it like tuning — systematic, methodical, detail-oriented work. What You Will Do: • Run rendering tests on websites using the internal tool • Read the output: which scripts ran, which resources loaded, how the page ended up • Figure out which scripts or settings are causing incorrect results • Set rules for which scripts and resources should be allowed or blocked • Adjust other settings like screen size, CSS loading, or timeout when needed • Make small changes, re-run, compare results — repeat until it looks correct • Check results against defined quality criteria • Document what you tested and what you changed • Flag cases to the team when you are stuck and standard adjustments are not working What We Are Looking For: Required: • You understand how a browser loads and renders a webpage — what HTML, CSS, and JavaScript each do • You understand that scripts and resources can depend on each other, and that blocking one thing can break another • You can form a hypothesis, test it, and draw a conclusion from the result • You are precise and careful — you notice small differences and do not skip steps • You are comfortable with trial-and-error work where the answer is not obvious upfront • English — B2 / Upper-Intermediate minimum (written communication with the client team and occasional calls) Nice to Have: • You have used Chrome DevTools — especially the Network or Performance tab • You have done any kind of frontend debugging or testing work • You have worked in QA, configuration, or any role that required following precise procedures No coding is required. Development experience is welcome but not needed. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers