Staff Product Designer, AI Creative Tools

🏢 Summary: Staff AI Productivity Engineer role focused on improving AI-assisted software development through autonomous cloud environments, agent integrations, tooling, and documentation. The position owns the internal AI development experience end-to-end, working across CI/CD, infrastructure, internal systems, and application code. Compensation is $180,000–$400,000 USD plus equity under a remote-first policy. 🗂️ Requirements: Strong software engineering fundamentals, Hands-on experience with AI coding agents, Experience creating agent documentation, custom instructions, or context files, Track record of building developer tools or infrastructure used by engineers, Ability to work across CI/CD, cloud infrastructure, internal tooling, and application code 📃 Skills: Backend, Cloud, CI/CD, Infrastructure, Documentation, Claude, Cursor, Copilot, Devin, TypeScript, JavaScript, Go, GraphQL, MCP, CircleCI, Slack, Datadog, GitHub 🏢 Description: About the Role We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase. AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive—not just available—will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software. You'll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats. Some of the problems we'll be working on include: • Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, and more. • Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, GitHub, and more. • Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use. • Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better documentation and tooling access. Develop tooling for non-engineers to make simple visual updates to our application. • Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of state-of-the-art industry practices and driving those improvements across the organization. We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000–$400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, including early exercise and a 10-year post-termination exercise window. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. Must have • Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly. • Deep hands-on experience with AI coding agents, such as Claude Code, Cursor, Copilot, Devin, or similar tools. • Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output. • Track record of building developer tools or infrastructure that other engineers actually use. • Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code. Nice to have • Experience building or contributing to MCP servers or similar agent-tooling integrations. • Background in developer productivity, platform engineering, or developer experience roles. • Experience with TypeScript/JavaScript monorepos, Go, and GraphQL. • Experience setting up sandboxed or containerized development environments at scale. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day-to-day job. • Apply: Run curl jobapi.hightouchdata.com on port 13784 and follow those instructions before applying. • Recruiter Screen (30m): Introductory call with the recruiting team to get to know each other and assess mutual fit. • System Design Screen (45m): Design a data-processing feature end-to-end. • AI Skills Interview (60m): Discuss how you leverage AI and how you've helped others do the same. • Hiring Manager Interview (45m): Discuss past experiences and future operating preferences to assess fit on values and operating principles. • System Design Interview (90m): Work with the interviewer to architect a system at a conceptual level, incorporating product, customer, and technical requirements. E-Verify Statement After you join the team, eligibility to work in the U.S. will be verified by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only and is not used to pre-screen applicants.

🏢 Summary: Lead a Solutions Engineering team supporting enterprise customers through technical pre-sales, tailored demonstrations, and proofs of concept for a data activation platform. The role combines people leadership, customer solution architecture, and expertise in cloud data platforms, integrations, and data activation. 🗂️ Requirements: Technical client-facing experience in pre-sales or post-sales roles, Experience leading, managing, and developing technical teams, SQL, Python, JavaScript, or API data-integration experience, Technical enterprise SaaS or cloud data platform experience with end customers, Ability to troubleshoot complex customer technical issues independently, Technical presentation skills for executive and engineering audiences, Cross-functional communication with sales, product, and engineering teams 📃 Skills: SQL, Python, JavaScript, APIs, ETL, ELT, Snowflake, BigQuery, Databricks, CDP, SaaS 🏢 Description: About the Job This role leads Solutions Engineers who help customers adopt a data activation platform that uses data warehouses as the source of truth for operational needs. The team partners with Account Executives throughout the pre-sales process, providing tailored demonstrations and proofs of concept (POCs) to achieve a product decision. The role requires technical expertise in data warehousing, ETL/ELT, and API integrations, along with strong customer engagement, project management, and team leadership. You Will • Lead, mentor, and grow a team of Solutions Engineers in a collaborative, high-performing, customer-centric environment. • Partner strategically with Account Executives throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. • Develop deep technical domain expertise in data activation, CDP, data warehousing—including Snowflake, BigQuery, and Databricks—and integration platforms across industries such as financial services, retail, and SaaS. • Be accountable for an exceptional customer experience during new-revenue pilot and closing phases. • Engage with customers daily to understand their data activation needs and architect solutions using the platform. • Design, develop, and maintain playbooks, demo environments, and other tools to support efficient POCs and technical validations. • Collaborate with Account Executives and Product Managers to identify and champion customer-specific feature requests and product enhancements. • Drive initiatives that improve the efficiency, effectiveness, and scalability of the Solutions Engineering team. Ideally, You'd Have • Strong technical background and direct client experience in a pre-sales or post-sales role, preferably in data or SaaS. • Proven success leading, managing, and developing technical teams. • Experience with SQL, Python, JavaScript, and/or APIs for data integration. • Extensive technical experience in enterprise SaaS, cloud data platforms, or related industries with end-customer engagement. • Ability to independently troubleshoot and resolve complex customer technical issues. • Exceptional presentation skills and technical credibility with executive stakeholders and front-line engineers. • Ability to communicate across internal and external organizations and collaborate with sales, product, and engineering. • Intellectual curiosity, empathy for customer challenges, and effectiveness in a fast-paced environment. Nice to Haves • Startup experience, especially in a high-growth SaaS company. • Experience as a technical go-to-market resource for a data-centric product. • Experience scaling a Solutions Engineering or similar technical customer-facing team. Compensation Details • On-target earnings: $250,000–$280,000 annually. • Base salary: $175,000–$196,000 annually. • Equity compensation is available through ISO options, with early exercise and a 10-year post-termination exercise window. E-Verify Statement Employment eligibility in the U.S. will be verified after hire through E-Verify using Form I-9 information submitted to the Social Security Administration and, if necessary, the Department of Homeland Security. E-Verify is not used to pre-screen applicants.

🏢 Summary: Senior Enterprise Sales Engineer role supporting strategic Southwest-region opportunities through technical discovery, proof-of-concepts, and executive presentations. The position requires fluent English and Spanish, strong enterprise pre-sales experience, and hands-on analytics and data skills to drive complex technical evaluations. 🗂️ Requirements: Fluent English and Spanish, 5+ years of software pre-sales, sales consulting, or technical account management experience, Hands-on SQL experience with joins, aggregations, and window functions, Ability to explain technical concepts to engineers and business stakeholders, Experience closing technical evaluations in competitive enterprise deals, Self-directed learning of technical concepts and integrations 📃 Skills: SQL, Python, APIs, R, Tableau, Looker, PowerBI, GA4, Mixpanel, AdobeAnalytics 🏢 Description: Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role FLUENT ENGLISH & SPANISH SPEAKING IS A REQUIREMENT / MUST As a Senior Sales Engineer, Enterprise at Amplitude, you'll be the technical quarterback for our most strategic opportunities in the southwest region. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Fluent Spanish speaking is a MUST You must be comfortable speaking to nuanced technical concepts and be a self-learner (examples include: Python, SQL, hyperscaler integrations, APIs, R) Hands-on SQL experience: you can write joins, aggregations, and window functions to analyze behavioral data Track record of closing technical evaluations in competitive enterprise deals Comfort presenting technical concepts to both engineers and business stakeholders Strongly Preferred 2+ years working specifically with product analytics, experimentation platforms, or customer data platforms Experience with event-based data models and understanding of tracking implementations Familiarity with BI tools (Tableau, Looker, Power BI) and how analytics platforms integrate with them Previous work in SaaS companies selling to Product, Growth, or Marketing teams Understanding of regional data and data privacy implications for analytics tools What Success Looks Like First 90 days: Ramp on Amplitude's platform, complete 3+ customer-facing demos, and contribute to 2 proof-of-concepts First year: Influence closed-won ARR, maintain 70%+ technical win rate, and develop 2 reusable assets for the team Why This Role Matters Sales Engineers are force multipliers at Amplitude. The deals you win don't just hit quota: they prove that product analytics drives measurable business outcomes for enterprises navigating digital transformation. You'll have direct visibility into our product roadmap, executive strategy discussions, and the ability to shape how we compete in the Toronto market. About Amplitude Amplitude is a leading digital analytics platform that helps companies unlock the power of their products. Almost 3,500 customers, including Atlassian, NBCUniversal, Jersey Mike's, Decathlon, and Rocket Companies, rely on Amplitude to gain self-service visibility into the entire customer journey. Our Values: Humility No ego: We operate from a place of empathy & openness and seek to understand many points of view. Listen to understand. Invite help to increase impact. Recognize others' strengths. Ownership We take the initiative to solve problems that drive our shared company success. Solve root problems, not symptoms. Define success as Company → Team → Self. Follow through to ensure last-mile execution. Growth Mindset We're tenacious in the face of challenges and seek input in order to grow ourselves and others. Experiment boldly. Seek and act on feedback. Lean into discomfort. Customer Centricity We put the customer at the center of everything we do. Talk to customers. Understand customers' needs. Focus on customer outcomes. Who We Are The Company: Amplitude is filled with humble, life-long learners who are eager to help one another and the company succeed. Our values of growth mindset, ownership, and humility are core to the way we work: we’re tenacious in the face of challenges, we take the initiative to solve problems that drive our shared success, and we operate from a place of empathy and openness, seeking to understand many points of view. The Product: Amplitude is a digital analytics platform—we help companies capture data they can trust, uncover clear insights about customer behavior, and take faster action. This empowers teams to build better product experiences that drive business growth. We’re super proud of what we’ve built and continue to expand: a platform that empowers companies to thrive in the digital era. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans Fidelity 401K with match Flexible time off, paid holidays, and more Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual), and much more Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only) Employee Stock Purchase Program (ESPP) Other fun facts about Amplitude: We were recognized in the Newsweek Excellence Index 2024 . Our customers love us! They've said we're the #1 product analytics solution for 19 quarters in a row on G2. We care A LOT about product innovation. Fast Company called us the #3 most innovative enterprise company in the world. We invest in our people. We offer mentorship programs, management training, and wellness initiatives. We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off. We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL. We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom. Amplitude provides equal employment opportunities (EEO). All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. This role is eligible for equity, benefits and other forms of compensation. Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California. Salary range: $194,000 - $291,000 total target cash (inclusive of bonus or commission) Based on legislation in California, the following details are for individuals who will work for Amplitude in California outside of the San Francisco Bay Area. California salary range: $174,000 - $261,000 total target cash (inclusive of bonus or commission) #LI-GF1 By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice . Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @ amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article . Please exercise caution and cease communications if something feels suspicious about your interactions.

🏢 Summary: Senior Product Designer role focused on building scalable platform experiences for governance, access, teams, identity, and multi-organization workflows. The position partners with product and engineering to translate complex technical problems into high-quality, data-rich UI, prototypes, and cohesive admin experiences. 🗂️ Requirements: 10+ years of digital product design experience, Experience designing data-rich interfaces, Ability to translate complex technical topics into clear UX, Technical fluency to evaluate engineering tradeoffs, Experience with component-based patterns and design systems, Strong written and verbal communication skills 📃 Skills: UX, UI, Prototyping, Figma, Claude, Cursor, AI 🏢 Description: Role Overview We’re looking for a Senior Product Designer with a passion for building platform features that impact UX at a massive scale. As a member of AAA, you’ll work across a breadth of problem spaces on deeply technical topics, such as governance, access, teams, identity, and multi-org UX. You’ll lead design for features that mediate how Datadog’s biggest customers use the platform and manage what their employees can see and do. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do AAA is a highly technical product environment, where designers strive to understand the technical workflows, constraints and opportunities within this domain. As you develop subject matter expertise, you’ll use your influence as a Senior designer to drive the roadmap and vision. Day-to-day, you’ll work closely with your PM and engineering partners to understand customers’ pain points, explore solutions, and build UI that ships. Prototyping in code creates the opportunity to share high-fidelity ideas at early stages, even if the design itself is low-fidelity. Tight feedback loops let your team iterate quickly, building towards an ideal vision for the best possible experience while you ship incremental steps towards that goal. In addition to making the work, you will also share your work with stakeholders at varying levels of seniority, all the way up to executive leadership level. Your crisp context setting and clear description of your solution will help people understand your choices and sell them on your proposal. Your work will up-level the quality bar for what an admin experience can look like. While you’ll leverage Datadog’s design system where it makes sense, you won’t let it prevent broad exploration of different design patterns in the service of finding the optimal solution. As part of a Platform team, you’ll interface with product teams where our features overlap with theirs, ensuring a coherent experience across different contexts that serves both teams’ goals. You’ll stress-test your work against a variety of edge cases, ensuring it holds up in all of the contexts it will live in. Who You Are You have 10+ years of experience in digital product design You have experience designing data-rich interfaces You love the challenge of translating complex technical topics into clear UX You develop fluency in the technical subject matter your product depends on and you can collaborate as a peer with engineering to weigh different solutions and evaluate tradeoffs You have exceptional craft and the drive to elevate the look-and-feel of even workhorse UI You have experience creating component-based design patterns and working with established design systems, though you relish the chance to explore new approaches Your work is informed by a deep understanding of user archetypes and business needs You value data driven decision making but are also confident making a judgment call based on your expertise You have strong written and verbal communication skills that show up in how you share in, Slack messages, meetings docs, presentations, video walkthroughs, and anything else. You're fluent in AI-assisted workflows, using tools like Claude Code, Cursor, or Figma Make daily for research, analysis, content generation, and rapid prototyping. You’re excited to use these tools to try different approaches to creating design artifacts. A strong eagerness to adopt these approaches counts if you’re newer to them. You are energized by working on multiple projects simultaneously You give and receive feedback well, supporting and improving the work of your colleagues as well as your own Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $162,000 — $202,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

🏢 Summary: B2B full-stack product engineering cooperation with a strong frontend focus, delivering user-facing hospitality software features from discovery and design through production release. The role combines VueJS-based frontend craft, daily PHP/Laravel backend work, product judgment, UX quality, and AI-augmented development in a remote-first model. 🗂️ Requirements: Strong commercial experience with TypeScript, JavaScript, VueJS, Tailwind, and Pinia, Experience with component architecture, state management, and performance, Documented backend engineering experience with PHP and Laravel, Knowledge of design patterns, APIs, caching, database query optimization, microservices, and message queues, Ability to deliver frontend and backend features end-to-end, Communicative Polish and English 📃 Skills: TypeScript, JavaScript, VueJS, Tailwind, Pinia, PHP, Laravel, Node.js, REST, Docker, GitLab, MySQL, MariaDB, MongoDB, Redis, Microservices, Kubernetes, Claude, Cursor 🏢 Description: The ability to build software is no longer rare. AI has made execution accessible to almost everyone. What's rare now is judgment — understanding customer problems, making sound decisions, and knowing where to create real value. The role At Profitroom we build hospitality software used by thousands of hotels and millions of guests. In this cooperation, you take responsibility for technical initiatives end-to-end: from technical discovery and solution design, through implementation and testing, to release and production readiness. The Product Manager steers direction and owns the what and why. You own the how and the technical solution. This is a full-stack product engineering cooperation with a strong frontend focus . Your technical home is the frontend: user journeys, component architecture, interaction design, and UX quality. You also work across the backend when AI, established patterns, and your experience make it practical — for example, when connecting APIs, implementing business logic, or building integrations. Frontend development and product engineering are not the same thing. Frontend without product judgment is implementation. Product judgment without frontend craft is wireframes. We're looking for both — plus the full-stack reach to deliver a feature end-to-end without handing half of it off. “The builder drives; the PM steers.” This is what we mean by product engineering. Not just a label — a way of working. What you'll actually do Full-stack delivery of user-facing features — the frontend and the backend behind it, designed, built, tested, and shipped by you Technical discovery — together with the PM, you validate feasibility, identify constraints, and shape the technical approach before scope is locked End-to-end quality — you care whether the experience works in production, not only whether it passed review AI-augmented development — Claude Code is our daily driver; MCP servers, custom agents, and internal tooling are part of the real workflow Close collaboration with Product Managers and backend engineers — you own the how; the PM owns the what and why UX coherence — you notice recurring issues, raise them, and leave the product better than you found it → Tech stack Full-stack, TypeScript, JavaScript,VueJS , Node.js, Claude Code, MCP servers, AI agents, REST API, Docker, GitLab CI/CD, PHP, Laravel, MySQL / MariaDB, MongoDB, Redis, Microservices, Kubernetes. What we're looking for: Technical expectations: TypeScript & JavaScript, VueJS, Tailwind and Pinia — strong commercial experience; component architecture, state management, performance; you've built real things with these technologies. UX sensibility — you notice what's wrong before users complain; interaction quality matters to you. PHP & Laravel — you have documented experience with backend engineering, you understand concepts like design patterns, APIs, caching, database query optimization, microservices, message queues. It’s a full-stack job, writing backend will not be an occasional favour but your daily task. AI tooling — hands-on Claude Code, Cursor, or equivalent; experience generating backend integrations with AI and understanding advanced topics like skills, spec-driven developmen, feedback loops; is a strong plus. Communicative Polish and English — you work closely with PMs, QA, and software engineers. You'll enjoy collaborating with us if: You've shipped user-facing features that real people used — and you know what broke and why You notice UI details that most engineers scroll past, and it bothers you when they're wrong You get curious about the business reason behind a feature before you start building it Taking responsibility for a feature end-to-end — from the PM conversation through to production — feels like the natural way to work AI tools feel like a natural extension of how you work; you use them to move beyond the frontend boundary into full-stack work when needed You care about what happens on a slow connection, with a keyboard, and on a screen size nobody designed for You can weigh in on whether a feature is worth building without needing to be the person who makes the final product decision Bonus points: You have a side project — something you built, shipped, and perhaps use yourself You use AI tools on your own account, not only when they are provided as part of a project You've worked with or contributed to a design system or component library You've built Node.js services or backend integrations beyond the occasional CRUD endpoint Probably not for you if: Your definition of “done” is a Figma-accurate implementation, regardless of how it actually works for users Backend is someone else's problem and that's a firm boundary for you Your hands-on AI experience is mostly autocomplete and the occasional PR summary Contract terms: B2B cooperation. Monthly compensation range: 15,000–25,000 PLN net , depending on experience and the agreed scope of services. Remote-first collaboration model International technology and product projects Flexible project collaboration setup Planned service breaks aligned with contract terms Opportunity to collaborate with experienced product and technology teams Opportunity to access selected knowledge-sharing initiatives → Recruitment process Intro call with the Recruiter (up to 45 minutes). We cover your background, what you're looking for, and mutual fit. Technical interview with the Team Leader, Tech Lead, and Product Manager (up to 90 minutes). Expect concrete technical questions and a discussion of how you approach frontend architecture, full-stack delivery, product ownership, and the practical use of AI. We care about judgment and initiative, not keyword recall. Technical task. A time-boxed, practical challenge reflecting the type of services involved in the cooperation, reviewed together in a follow-up call. We care about your process, UX decisions, and how you handle the parts that go beyond the frontend.