Jobs

🧲 Magnetics is a Ukrainian product marketing agency specializing in UX/UI, frontend development, marketing research, product marketing, media buying, and affiliate marketing. Founded in 2014, we are actively scaling and now have 70+ talented professionals on our team.

We are looking for a Linkbuilding Team Lead (Reddit) — a process-driven expert who will lead the launch of a new direction. We need someone who understands how Reddit works, can navigate platform limitations, and turn organic discussions into a consistent flow of targeted traffic.

🧲 What we’re looking for:

• At least 1 year of hands-on experience working with Reddit
• Hands-on experience with antidetect browsers, proxies, cookies, and user agents
• Ability to build and manage the full account lifecycle: from setup and warm-up to stable posting
• Strong data-driven mindset with the ability to analyze performance through metrics such as conversions, registrations, and deposits
• Experience in building and documenting processes (SOPs, guidelines, workflows)
• Proven leadership skills: hiring, mentoring, and developing team members
• Ability to scale successful strategies and quickly adapt to platform changes

🧲 Nice to have:

• Experience with process automation (scripts, tools)
• Experience with other UGC platforms such as Quora, X (Twitter), Discord, etc.

🧲 Responsibilities:

• Build and lead a team of Reddit specialists (3–10 people), including hiring and development
• Design and implement the full account lifecycle (setup, warm-up, scaling)
• Organize regular posting of content and comments with native link placements
• Ensure content quality and compliance with subreddit rules and platform guidelines
• Analyze behavioral and technical signals to identify risks, test hypotheses, and improve account stability
• Track and manage key KPIs such as registrations, deposits, and overall profitability
• Optimize workflows and introduce scalable solutions
• Prepare regular performance reports for the team and individual contributors

🧲 Why Magnetics:

• Full ownership and autonomy with minimal bureaucracy
• 100% remote work and flexible schedule
• Medical insurance, paid vacation, and sick leave
• 50% coverage for individual courses and 100% for team learning programs
• Free legal consultations and 50% discount on legal services

• Competitive salary with regular reviews

   

🚀 Ready to build one of the strongest Reddit teams on the market?

Apply now — let’s connect and create results together! 🧲

About the role:

We’re building a modern multi-tenant SaaS platform with a strict TypeScript monorepo (frontend + backend).

Looking for a Senior Full-Stack Developer to work on new features, integrations, and performance improvements.

Tech stack:

• TypeScript (strict, no JS)
• React (hooks, context, custom state)
• Node.js (Express 5)
• PostgreSQL (Neon) + Drizzle ORM
• Vite, Tailwind CSS

What you’ll do:

• Develop and improve product features
• Work across frontend and backend
• Build and maintain integrations (payments, maps, AI)
• Optimize performance and scalability

• Keep a clean and strongly-typed codebase

   

Requirements:

• 4+ years of experience with JavaScript/TypeScript
• Strong experience with React
• Solid Node.js + REST API design
• Good SQL / PostgreSQL knowledge
• Experience with modern tooling (Git, Vite, etc.)

Nice to have:

• Stripe or SaaS billing systems
• Google Maps API / geospatial data
• Experience with OpenAI or Gemini
• Mailgun / Twilio integrations
   

Product highlights:

• RBAC & subscription-based access
• Integrations: Stripe, Google Maps, AI services
• Digital signature workflows

About Billease

Billease is the leading buy now, pay later (BNPL) platform in the Philippines. Were building financial products that are simple, fair, and useful for millions of customers. Our design team is small but punches above its weight, we work fast, test constantly, and care about outcomes more than pretty decks.

The Role

Were looking for a Full-Stack Product Designer, someone who can take a customer journey from messy problem to polished, shippable design. You'll cover the full stack:

• UX mapping flows, fixing friction points, creating clarity in complex journeys
• UI hands-on in Figma, setting strong visual direction, keeping consistency across screens
• Systems thinking building design frameworks that scale across products
• Delivery working side-by-side with product managers, engineers, and marketers to make sure what ships is what you designed

You wont just be pushing pixels. You'll be in customer interviews, in data dashboards, in design reviews, and in production releases.
 

What you'll do

• Own design for end-to-end journeys (e.g., wallet loan, mobile load, shopping integration)
• Translate customer and business needs into simple, elegant solutions
• Create wireframes, prototypes, and final UI in Figma and ensure they get built right
• Partner with product, UX research, and lifecycle to align design with real customer behavior
• Maintain and evolve our design system for speed and consistency

• Balance speed with craft knowing when to ship scrappy and when to polish

   

What were looking for

• 5+ years in product design, ideally at consumer tech, fintech, or e-commerce companies
• Strong portfolio showing end-to-end ownership (flows, UX decisions, UI craft)
• Comfort jumping between high-level strategy and detailed design work
• Skilled in Figma (components, auto-layout, prototyping)
• Basic knowledge of usability testing and data-driven iteration
• Great communicator - clear, straightforward, no fluff

• Hungry to learn, humble to feedback, biased to action

   

Nice to have

• Experience in top fintech organizations, preferably on emerging markets
• Motion/interaction design skills (for smoother app experience)

• Understanding of front-end implementation (so you can speak engineer)

   

Why Billease

• Impact: your work will shape the daily financial lives of millions
• Speed: we move fast, test, and iterate no endless approvals
• Team: small, sharp, and direct. No politics, just outcomes
• Growth: space to own big pieces of the product and grow with them

🚀 About Kilona.io

At Kilona.io, we build high-quality, high-speed web and mobile AI applications. We work with top global startups to create cutting-edge products that are fast, precise, and beautifully engineered. 

Currently, we're expanding our team to support our active mobile AI product with a modern stack.
 

💼 What You'll Do

• Develop and maintain mobile applications using React Native
• Create and optimize backend APIs with Node.js
• Work with relational and non-relational databases
• Refactor and improve code performance and maintainability
• Collaborate closely with a small and focused remote team
   

✅ Requirements

• 2+ years of hands-on experience with React Native (both Expo and CLI)
• 1+ year working with Node.js (Express.js)
• Strong knowledge of JavaScript, ES6+ features
• Confident with Git, React Native navigation, and modern development workflows
• Experience with REST APIs and integrating databases (e.g., PostgreSQL, MongoDB, Firebase, Supabase, AWS DynamoDB, etc.)
• Good communication skills in English (B2 level or higher)
   

✨ Would be awesome if you have

• Experience with mobile app deployment (App Store, Google Play)
• Understanding of CI/CD pipelines for mobile apps
• Experience using AI-powered dev tools (e.g. ChatGPT, Cursor AI, Lovable, V0) to speed up development
   

🧑‍💻 Working Conditions

• Hourly-based payment model (overtime is always paid)
• Fully remote — work from anywhere
• Flexible schedule — we appreciate team overlap but you manage your own time
• Easy time-off policy — take days off when you need, no bureaucracy
• Work on cutting-edge AI products in a fast-paced and supportive environment

🔍 Hiring Process

1. Video intro OR Quick screening call (20 - 30 mins)
2. Technical interview (up to 1 hour)
3. Final interview (optional)
4. Offer 🎉

Interested? Let’s talk! 📨 Drop us a message — we’re always open to meeting like-minded people.

We are seeking an experienced Chief Marketing Officer (CMO) to lead our comprehensive marketing strategy and operations across all B2C brands in our iGaming portfolio. You will be responsible for driving customer acquisition, brand positioning, market expansion, and revenue growth through integrated marketing campaigns. This is a senior leadership role requiring deep knowledge of iGaming market dynamics, digital marketing channels, customer acquisition strategies, brand positioning, and comprehensive performance measurement across all marketing touchpoints and customer lifecycle stages.

Responsibilities:

• Develop and execute a global marketing strategy tailored to the iGaming industry (online casino, sports betting, esports, lotteries, etc.).
• Drive player acquisition, retention, and reactivation campaigns across multiple regions.
• Build and oversee multi-channel marketing campaigns (SEO, PPC, affiliates, display, social media, influencers, email, push, in-app, etc.).
• Establish and optimize the Affiliate & Partnership Program to ensure a steady inflow of high-quality traffic.
• Develop and implement strategies for growing the affiliate program.
• Design and optimize processes for attracting and onboarding new partners.
• Launch and scale new verticals and expand into new GEOs.
• Manage marketing and affiliate teams: set goals, provide training, motivate, develop, and monitor performance.
• Build long-term partner relationships, including engagement at C-Level.
• Ensure marketing compliance with local gaming regulations, licensing requirements, and responsible gaming policies.
• Monitor and optimize KPIs specific to iGaming: CPA, ARPU, LTV, churn rate, retention %, deposit-to-registration conversion, ROI by channel.
• Manage user acquisition budgets, ensuring maximum efficiency and profitability.
• Collaborate closely with Product, CRM, and other teams to create personalized player journeys and loyalty programs.
• Lead brand-building initiatives in highly competitive and regulated markets.
• Develop sponsorships, media partnerships, and influencer collaborations within the gaming, sports, and entertainment sectors.
• Analyze market trends, competitor strategies, and customer behavior to identify new growth opportunities and optimize marketing strategy.
• Present marketing performance, insights, and strategy updates to the CEO, board, and investors.
• Purchase of various traffic types.
• Planning and structuring traffic budgets for the month and year.
• Conducting marketing research of markets where the company is present and markets we plan to enter.
   

#WeAreIn for jobs that impact everyone's life. 

What if your ideas could change the way the world connects, powers up, or thinks? As a Digital Design/FPGA Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. 

Are you in?

Your Role

Key responsibilities in your new role

In this role, you will be part of a team that develops system prototypes for the company’s cutting-edge products by converting ASIC RTL designs to FPGA implementations.
 

• Write and import test benches for the FPGA, run joint debug sessions with the verification team to ensure design functionality is preserved during ASIC to FPGA conversion
• Review test firmware in C and support the firmware team with test bench debugging
• Develop custom hardware companion boards and daughtercards for off-the-shelf FPGA boards and kits
• Debug hardware, logic, and module configuration issues
• Develop custom logic blocks to mimic ASIC functionality not feasible in FPGA such as ADC, DAC, and mixed-signal peripherals

Your Profile

Qualifications and skills to help you succeed
 

• A university degree in Computer Science, Electronics, or equivalent
• At least 3 years of experience in embedded and at least 1 year of experience in digital design using FPGA
• Hands-on experience with lab debug equipment such as oscilloscopes, logic analyzers, and protocol analyzers
• Experience with verification methodologies, VHDL and Verilog; and RTL and gate level simulations (e.g. Mentor QuestaSim) and debug tools
• Hands-on with firmware debugging tools such as Keil uLink2 and IAR J-Link
• Knowledge of schematic entry CAD (Allegro, Altium, KiCad) would be a plus
• Fluency in English

Please send us your CV in English.

Note: This is a temporary 2-years contract with the possibility of staying afterwards.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

As a DevOps, you will play a vital role in ensuring the smooth operation and optimization of our network of IoT devices and Linux server infrastructure. Your expertise will be crucial in planning, provisioning, implementing automation, and safeguarding the security and performance of our systems.

Responsibilities:

Perform Linux system administration tasks, including server setup, configuration, and maintenance.

Monitor server performance, resource utilization, and troubleshoot potential issues to ensure optimal operation.

Implement security measures, configure firewalls, and manage user permissions to ensure robust system security.

Develop and maintain automation scripts using Bash or Python to streamline repetitive tasks and improve efficiency.

Collaborate with the development team to set up and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for software deployment and testing.

Manage network configurations, interfaces, and routing to maintain seamless connectivity.

Set up and maintain monitoring and log analysis tools for proactive system monitoring and issue detection.

Implement backup strategies and disaster recovery plans to safeguard data and ensure business continuity.

Collaborate with cloud infrastructure if applicable, and maintain a cohesive hybrid environment if required.

Stay up-to-date with the latest trends and technologies in the Linux and DevOps domain, incorporating relevant innovations into our infrastructure.

Requirements:

2 years.

User Management Service.

RADIUS (LDAP).

Proficient in Linux system administration, with hands-on experience in aarch64 architecture.

Strong scripting skills in Bash, Python for automation and configuration management.

Familiarity with configuration management tools such as Ansible

Experience with networking concepts, protocols (TCP/IP, DHCP, DNS), and firewall configurations.

Knowledge of monitoring tools like Nagios, Zabbix, or Prometheus, and log management tools like ELK stack is advantageous.

Prior exposure to CI/CD pipelines and Git version control is desirable.

Ability to analyze and troubleshoot complex technical issues, providing effective solutions.

Strong security mindset with the ability to implement robust security measures.

Proactive and adaptable, able to thrive in a dynamic startup environment.

Communication and teamwork skills, collaborating effectively with cross-functional teams.

We are hiring a Senior DevOps Engineer for a fast-growing product company building a scalable cloud-based platform. The system handles real production workloads and requires a strong focus on reliability, automation, and performance across the entire infrastructure layer.

The platform is built as a cloud-native system running on GCP, with modern CI/CD pipelines, containerized services, and infrastructure as code. The engineering team is focused on delivering high-quality software with strong operational excellence, while continuously improving system scalability and resilience.

In this role you will take ownership of the DevOps domain, working closely with engineering teams to design, implement, and maintain infrastructure and deployment pipelines. You will play a key role in ensuring system stability, security, and performance, while driving automation and best practices across the organization.

Responsibilities

• Design and maintain scalable, secure, and highly available cloud infrastructure on GCP

• Build and manage CI/CD pipelines using GitHub Actions

• Automate software delivery and deployment processes end-to-end

• Implement monitoring, logging, and alerting systems to ensure reliability and performance

• Collaborate with development teams to optimize applications and troubleshoot production issues

• Drive infrastructure as code practices using Terraform

• Enforce security best practices across infrastructure and services

• Automate operational workflows to reduce manual effort and improve efficiency

• Participate in on-call rotations and resolve critical production incidents

• Mentor engineers and contribute to overall DevOps maturity

Tech Stack

• Cloud: GCP

• CI/CD: GitHub Actions

• Containers: Docker, Kubernetes

• Infrastructure: Terraform

• Scripting: Python, Bash, JavaScript

• Monitoring: Prometheus, New Relic

Requirements

• 5+ years of experience in DevOps or infrastructure engineering

• Strong hands-on experience with GCP in production environments

• Solid experience building and maintaining CI/CD pipelines

• Strong knowledge of containerization and orchestration using Docker and Kubernetes

• Experience with infrastructure as code using Terraform

• Strong understanding of networking and security principles

• Experience with scripting and automation

• Ability to troubleshoot complex production issues

• Strong communication skills and ownership mindset

Nice to Have

• Experience building custom Terraform providers

• Background in microservices architecture

• Experience with SQL or NoSQL databases

• Experience with performance optimization and system tuning

• Relevant cloud certifications

This is a long-term opportunity to work on a production-grade system with real scale, strong engineering standards, and a focus on reliability and automation. You will have direct impact on infrastructure decisions and the overall DevOps strategy of the company.

We are hiring our first senior commercial hire for a product development company that builds digital products end to end, including MVPs, custom software, and long-term product development engagements.

Our team already has strong delivery capability, completed projects, case studies, measurable outcomes, and client references. We now need someone senior who can turn that foundation into a focused, repeatable new business function.

This is a hands-on role for someone who has already sold development services or custom product work. It is not a pure lead generation role, and it is not a big-company sales management position. The person we hire will help shape our commercial direction, run outbound and business development directly, and turn target accounts into qualified opportunities and signed clients.

What this role is for

The goal is to build the first working version of a repeatable sales function beyond founder-led networking.

In the early stage, that means:

• understanding our capabilities, delivery model, strongest case studies, and best-fit client situations
• helping define a sharper commercial focus, including target client profile, offer framing, and messaging
• building and running a practical outbound and business development process
• qualifying opportunities rigorously and focusing effort on deals with real commercial potential
• moving opportunities forward with discipline and clear ownership
• working with the founder selectively on calls or later-stage conversations where that improves conversion
• improving commercial materials where needed, including messaging, decks, case studies, outreach copy, and website input

This role is both strategic and operational. The first priority is to create focus, generate qualified pipeline, and close well-matched new business.

What success looks like

Success in this role means:

• defining a clear initial commercial focus
• establishing a sales process the company can actually run
• creating a steady flow of qualified opportunities
• converting the best opportunities into signed business
• reducing dependence on the founder’s personal network over time

We care about pipeline quality, commercial judgment, and closed revenue, not vanity metrics.

What you will own first

In the first phase, you will be expected to:

• learn the business quickly and identify where we are most credible
• narrow the sales focus instead of trying to sell everything to everyone
• build a targeted outbound and business development motion
• create structure around qualification, pipeline management, and follow-through
• test positioning and messaging in the market and refine it through real conversations
• bring the founder into the process selectively, not as the default owner of the sale
• help us identify what is repeatable, what is not, and where to double down

Candidate profile

We are looking for someone who:

• has real experience selling dev services, custom software development, MVP development, dedicated teams, or product development services
• understands how custom development deals are qualified, shaped, and closed
• is comfortable building parts of the commercial function as they go
• can balance commercial strategy with direct execution
• knows how to distinguish serious opportunities from poor-fit deals
• is comfortable owning pipeline and revenue progress, not just top-of-funnel activity
• can operate with autonomy and sound judgment in a founder-led company

Preferred background

Especially relevant experience includes:

• selling to startups, scale-ups, or product-led companies
• working on mid-sized service deals with meaningful contract values
• strong outbound and account-based business development skills
• experience in founder-led or early-stage environments
• exposure to crypto, wallets, fintech, or other regulated or high-trust sectors
• practical use of AI tools in research, targeting, outreach, qualification, and workflow improvement

This role is probably not a fit if:

• your experience is mainly booking meetings for others to close
• you have not sold custom development or product development services before
• you only perform well inside a fully mature inbound machine
• you need a heavily prebuilt playbook before you can begin
• you prefer reporting activity over owning commercial outcomes
• you struggle to say no to weak-fit opportunities

Working model

We are open on structure. This can be full-time, part-time, or another arrangement that fits the right person.

What matters is seniority, ownership, commercial judgment, and the ability to build real momentum inside the business.

Compensation

Compensation will include a solid base plus meaningful performance upside tied to closed business.

The exact structure will depend on profile, experience, and working model, but this is intended to be a serious role for a serious operator.

Why this role is interesting

This is an opportunity to join when the delivery capability already exists, but the commercial function still has real room to be shaped.

For the right person, this is more than another sales role. It is a chance to define the focus, build the motion, and create a sales engine that becomes a real company capability.

If your background fits and you know how to sell this kind of work, we want to hear from you.

We're a small, fast-moving team building a B2B SaaS product in the e-commerce analytics space. We're looking for a skilled Data & Infrastructure Engineer to help us scale our data pipelines, optimize our analytical engine, and maintain a rock-solid production environment.

About the role

You'll work closely with our technical team to ensure our data flows seamlessly from ingestion to insight. This isn't a role where you'll be handed a perfectly architected blueprint. We need someone who can take ownership of our infrastructure, make smart trade-offs between performance and cost, and communicate clearly when architecting complex systems.

Our stack is built to handle high-volume analytics at scale. We rely on ClickHouse for our heavy lifting, Kafka for real-time data streaming, and Kubernetes for orchestration. We use dbt to keep our transformations sane and manageable.

What you'll be doing

• Scaling the Backbone: Managing and optimizing our ClickHouse clusters and Kafka pipelines to handle growing data volumes.
• Infrastructure as Code: Maintaining and evolving our Kubernetes environment to ensure high availability and performance.
• Data Modeling: Building and maintaining robust data models using dbt to support our analytics product.
• Performance Tuning: Identifying bottlenecks in data ingestion and query performance, and implementing long-term fixes.
• Reliability: Participating in technical discussions, code reviews, and debugging production infrastructure issues when they arise.

What we're looking for

• 3+ years of professional experience in Data Engineering, DevOps, or Site Reliability Engineering.
• Expertise in ClickHouse: You know how to optimize MergeTree engines and write efficient analytical queries.
• Streaming Mastery: Hands-on experience deploying and managing Kafka clusters.
• Orchestration Skills: Strong experience working with Kubernetes (K8s) in a production environment.
• SQL & dbt: A deep understanding of SQL and experience using dbt for data transformation workflows.
• Independence: Ability to manage your own time and take infrastructure projects from concept to completion.

Bonus points

• Hetzner Cloud: Experience managing bare metal or cloud instances specifically within the Hetzner ecosystem.
• Infrastructure as Code: Experience with Terraform, Pulumi, or Ansible.
• Industry Context: Background in e-commerce, Shopify, or marketing analytics.
• Backend Knowledge: Familiarity with Node.js/TypeScript to help bridge the gap between infra and the app layer.

The Process

The interview process consists of a 30-minute technical interview and, in the second round, a 1-hour coding/system design task focused on data architecture.

Shopify Developer (+ React & AI-first development)

Your Responsibilities

Take ownership of the technical direction and continuous development of our Shopify-based e-commerce landscape
Design, architect, and plan scalable Shopify solutions – from initial concept to implementation (Theme, Apps, Integrationen)
Drive the transition towards modern architectures (z. B. Headless Shopify mit React)
Ensure high code quality through reviews, testing strategies, and clean, maintainable code

Your Qualifications

Strong experience with Shopify (Liquid, APIs, App Development, Shopify Plus von Vorteil)
Very good knowledge of modern frontend development, especially React (z. B. Headless / Hydrogen)
Solid expertise in software architecture, system design, and scalable e-commerce systems
Confident handling of code quality, testing, deployment, and version control
Experience with API integrations (REST / GraphQL) and third-party tools
Ideally experience with AI tools or APIs (e.g. automation, chatbots, personalization)
Strong communication skills and ability to align technical and business requirements
Structured, ownership-driven working style with a strong focus on continuous improvement
Good English language skills required
 

Why Join Us?

If inefficiency bothers you, you’ll feel at home with us.

We strongly believe that automation and smart system design are key to building outstanding digital businesses. This applies both to our client projects and how we operate internally.

You will have a high degree of ownership, impact on technical decisions, and the opportunity to actively shape modern e-commerce architectures.
 

About Us

We are a small, highly focused team on a mission to build sustainable digital solutions in the areas of process automation, custom software, and modern e-commerce.

Our goal is not just to build shops — but to create scalable, efficient systems that truly drive business value.

We are hiring a Senior Software Engineer (Full Stack) for a fast-growing wellness-tech company building a modern platform for the head care and hair treatment industry. The product combines professional diagnostic tools, standardized treatment protocols, and integrated e-commerce capabilities to help salons and wellness centers deliver personalized, data-driven experiences to their customers.

The platform serves as an end-to-end system for head spa providers, enabling them to analyze scalp conditions, manage treatment workflows, and seamlessly connect services with product sales. The system is already in use and continues to evolve as the company expands its footprint globally.

The product is built with a modern full stack architecture using React and NestJS, running on AWS infrastructure. It includes integrations with third-party platforms like Shopify and Zoho, supports real-time data processing, and relies on a combination of relational and NoSQL databases. The team is small, highly focused, and operates in a fast-paced remote environment.

In this role you will act as a key technical contributor and take ownership across the entire product lifecycle, from architectural decisions to production support. This is not just an execution role, but a position with real influence on technical direction and product quality.

Responsibilities

• Work across the full stack using React and NestJS to build and maintain product features

• Own features end-to-end from design and architecture through deployment and support

• Manage and improve AWS infrastructure, including IAM (Cognito) and cloud services

• Develop and maintain CI/CD pipelines using GitHub Actions

• Contribute to infrastructure as code using Terraform, CDK, or CloudFormation

• Research solutions, build PoCs, and drive technical decisions

• Ensure system reliability, scalability, and performance in production

• Provide L3/L4 support and resolve production issues when needed

• Collaborate closely with business stakeholders to translate requirements into technical solutions

Tech Stack

• Frontend: React, TypeScript, SCSS

• Backend: Node.js, NestJS, Python (plus)

• Databases: PostgreSQL, Redis, DynamoDB

• Cloud: AWS

• Infrastructure: Terraform, CDK, CloudFormation

• Search: Elasticsearch, Solr, or OpenSearch (plus)

• Mobile: Android (Kotlin is a plus)

• Integrations: Shopify, Zoho (Deluge scripting)

Requirements

• Strong experience in full stack development and system integration

• Solid understanding of HTTP, REST APIs, and networking fundamentals

• Proven experience working with AWS, Docker, and Linux environments

• Hands-on experience with CI/CD pipelines and infrastructure as code

• Advanced knowledge of git and version control workflows

• Experience working in fast-paced, remote environments

• Strong ownership mindset and ability to work independently

AI & Modern Engineering Expectations

Candidates are expected to actively use AI-powered development tools such as GitHub Copilot, Claude Code, or similar to accelerate development, improve code quality, and support refactoring and research workflows.

Nice to Have

• Experience with search technologies like Elasticsearch or OpenSearch

• Experience with e-commerce or CRM integrations (Shopify, Zoho)

• Mobile development experience (Android, Kotlin)

• Experience working with Python in production environments

This is an opportunity to join an early-stage, privately funded company as a foundational engineer, with real ownership over the product and direct impact on its evolution. As the company grows, both scope and compensation will scale accordingly.

The role is fully remote and requires strong English communication skills.