Jobs

Come build something true with us.

At True Sea Moss, we’re on a mission to bring real, wild nourishment back into people’s lives. Our products are rooted in nature, clean by design, and crafted with care. As we grow, we’re not just scaling orders — we’re deepening relationships.

That’s where you come in.

We’re looking for a Head of Customer Support who doesn’t just manage tickets — you design systems that reflect care, calm, and clarity at every customer touchpoint. You know that behind every inquiry is a human being, and behind every world-class brand is a world-class support operation.

Now – who are we looking for?

You’re a people-first, process-driven leader. You can zoom out to design scalable systems and zoom in to resolve a delicate issue with nuance and empathy. You know how to build teams, train for tone, and turn everyday conversations into brand loyalty.

What You’ll Be Doing

• Lead and evolve our customer support strategy, systems, and team as we scale across markets
• Own and optimize support operations, including SLAs, workflows, ticket routing, and knowledge management
• Design and implement feedback loops that turn customer insight into product, policy, and experience improvements
• Track and report on core CX metrics (CSAT, response time, resolution rate, etc.) to inform team performance and company decisions
• Oversee our support platforms and ensure tool usage is efficient, integrated, and evolving
• Build and nurture a high-performing team — from hiring to training to coaching
• Partner with Marketing, Product, and Ops to ensure seamless communication and aligned customer touchpoints
• Lead crisis response, escalations, and sensitive communications with clarity and care

What You Bring

• Proven experience leading customer support or CX teams in a high-growth DTC or e-commerce environment
• Strong command of support platforms (e.g., Zendesk, Shopify, Klaviyo) and automation tools
• Operational mindset: you love process design, SOPs, and scalable systems
• Deep understanding of CX metrics and the ability to use data to drive continuous improvement
• Experience managing remote teams across multiple time zones
• A calm, proactive, solutions-first approach to customer challenges

Nice-to-Haves

• Familiarity with U.S. consumer expectations and CX best practices
• Experience with health & wellness, lifestyle, or mission-driven brands
• Background in customer lifecycle, retention, or post-purchase engagement strategy

Why Work With Us

We don’t treat customer support as an afterthought — it’s central to our brand and business.

You’ll help shape how we show up in the world: consistently, compassionately, and with conviction.

We listen. We care. We build things that last.

Here’s How We Back Our Words with Care

• Welcome pack and custom True Sea Moss merch to start strong
• Sports reimbursement to support your mental and physical well-being
• Additional vacation days beyond standard holidays
• Coaching & career development sessions to fuel your growth
• Corporate English lessons to help you sharpen communication
• WHOOP membership to support your health and recovery
• Coworking membership for flexibility and focus
• Sabbatical options after long-term contributions
• Travel and project grants to support personal growth and creativity

So — does this sound like your kind of work?

If you believe great customer support is about connection, consistency, and care — and you're ready to build something that truly matters — we’d love to hear from you.

Let’s make things worth remembering.

About Us

We are a well-funded iGaming startup on a mission to redefine the future of online gambling. Built on a foundation of transparency, integrity, and responsible gaming, our next-generation SaaS platform empowers operators to launch and scale dynamic gambling experiences with unmatched speed and confidence.

Job Summary

As a Senior Graphic Designer, you will have the opportunity to impact the brand’s visual presence for our cutting-edge Game and Entertainment Platform by designing high-quality graphic materials that resonate with our audience across multiple platforms. Your expertise will drive user engagement and strengthen our brand presence.

Required Qualifications

• 5+ years of experience in Graphic Design.
• 2+ years of design experience in the gambling industry.
• Strong proficiency in Photoshop, Illustrator, and Figma.
• Proficiency in AI-powered graphic design tools to streamline your workflow (STRONG MUST-HAVE).
• Strong collage skills are essential.
• Experience with gambling/casino features, as well as UI elements.
• Ability to adapt designs for multiple platforms (Discord, X, YouTube, Google Ads, etc.).
• Understanding of digital and print layout principles.
• Knowledge of UI/UX for improving user experience.
• A creative, resourceful mindset with attention to detail.
• Fluency in Ukrainian or Russian and proficiency in English for technical collaboration in a remote/global team setting.
• Ability to work within the CET/EET time zone.

Your Advantage

• Experience with Skin/NFT Gambling.
• Experience in Blender for 3D modelling, animation, and visual effects to create immersive 3D graphics for online gambling/gaming products.

• Previous experience working in a start-up environment with rapid iteration cycles.

   

Key Responsibilities

• Design visuals, logos, icons, and promotional graphics for our products.
• Development and support of corporate style and design system.
• Work on marketing campaigns (landings, emails, banners, social media).
• Collaborate with marketing and design teams to deliver high-quality visuals that align with the company's business goals and enhance our promotional efforts.
• Create new and refine existing promo content to boost engagement.

Recruitment Process

1. Application Review (1-2 weeks).
   If you have not received a response from the recruiter, your experience is irrelevant to this vacancy.
2. Interview Stages (2-3 weeks).
   1. Prescreen Call with Recruiter - 30 min.
   2. Test Assignment (optional).
   3. Technical Interview with Head of Design - 1 hr.
   4. Final Interview with CPO - 30 min. 
3. Job Offer
4. Referrals: Employment and Background Check.

We Offer

• Competitive compensation package (depends on your experience and skills).
• Fully remote work with flexible hours (within the CET/EET time zone) from any location of your choice.
• 29 business days of vacation and paid sick leave.
• Corporate equipment (laptops, monitors, etc.).
• Professional courses/certifications (200 EUR per year).
• Operating in a start-up environment with cutting-edge technologies and unlimited investments in software upgrades, free from legacy systems or outdated solutions.
• Values-driven culture with a friendly and supportive work environment.
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency.

We’re not looking for someone to just “join the team” - we’re looking for someone ready to shape the product, lead meaningful growth, and make an impact from day one.

If that sounds like you - send over your CV, and let’s talk!

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize AI system performance for accuracy, scalability, latency, and cost-efficiency.

   

System Integration & Architecture

• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.

• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

   

Research & Innovation

• Stay current with evolving LLM technologies, frameworks and methodologies.

• Evaluate emerging tools and techniques to continuously improve solution quality and delivery speed.

   

Collaboration & Leadership

• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SKELAR is a venture builder that builds international IT product companies according to the rules of the venture capital world. Together with our co-founders, we assemble strong teams to launch tech businesses and win in global markets.

We are currently looking for a Infrastructure Engineer.

We are Leaply, an ecosystem of digital and physical products designed to help people build healthy habits and improve their quality of life. We operate in global markets - the US, Tier 1, Europe, and beyond.

In June 2024, we launched an app focused on habit-building, using a subscription-based monetization model and a performance-first marketing approach (Meta, Google, TikTok). Within the first two months, we achieved positive unit economics and are now on track to grow 10x by the end of the year.

Our team is building its third business together, with successful exits behind us and a deep understanding of our niche and target audience. We move fast, communicate openly, and set ambitious goals.

What you’ll do:

— Become the first hire in a new Platform team and build the infrastructure function from scratch - from strategy to execution, with full ownership and impact across the business;

— Transform infrastructure that has grown alongside the product into a mature, well-structured platform — with clear service maps, dependencies, and ownership areas;

— Take Terraform and Kubernetes to the next level of maturity: modular IaC architecture, standardized deployments, autoscaling — ensuring every release is predictable and reliable;

— Build a full observability system: metrics, logs, traces, alerting — so the team can proactively monitor system health instead of reacting after issues occur;

— Strengthen security practices: access management, secrets handling, protection from external threats — and make security an integral part of the engineering culture;

— Optimize data infrastructure — ensuring stable and efficient pipelines for analytics and business decision-making;

— Create platform templates for new services — so product teams can focus on features instead of infrastructure;

— Work across three core business domains — Product, Growth/Marketing, and Payments — building solutions that scale the entire business, not just individual teams.

This role is for you if...

Must-have

— 3+ years of commercial experience in Infrastructure / DevOps;

— Strong experience with Kubernetes + Helm (clusters, deployments, autoscaling, health checks);

— GCP — projects, networking, services, access management;
— Terraform — infrastructure as code, modules, state management;

— CI/CD — building and maintaining pipelines;

— Observability — monitoring, logging, alerting (Prometheus/Grafana or similar);

— Security — access control, secrets management, protection from external threats;

— Ability to write production-level code — not just scripts (Bash/Python), but also capable of contributing to backend (Node.js/TypeScript) to solve engineering challenges;

— Ownership mindset — proactively identifying risks, driving solutions, and thinking in terms of business impact;

— Actively using AI tools in your workflow to move faster and think broader.

Nice-to-have

— Experience with data tooling — building and maintaining data pipelines;

— FinOps — infrastructure cost optimization, budgeting, cost monitoring.

SKELAR is an environment for self-realization of people who are able to create successful companies. We call such companies the next big everything. We believe in their power and scale.

To do this, we have created all the opportunities within our venture builder:

— 8 SKELAR Platform teams that help businesses close any issues: from recruiting and communications to finance and legal issues;

— A community of founders who have already launched more than one business and can share practical experience;

— Internal clubs by professional areas: marketing, development, finance, recruiting, brand ambassadorship;

— Trainings, courses, attending conferences;

— Health insurance.

Hello, and thanks for checking out my role.

I’m looking for an experienced accountant / bookkeeper to join us on a full-time, one-month contract to help clean up and bring our accounts back up to date.

This is a full-time role for the full month: 40 hours per week, 5 days per week. We need someone who can commit properly for the whole contract period, not fit this around several other jobs.

We are a medium-sized Australian e-commerce business running three Shopify stores, with sales integrated through A2X into Xero.

We are currently behind on our bookkeeping and compliance preparation. Our FY2025 company tax return for the financial year ended 30 June 2025 is now two months overdue, and our BAS is also overdue. The immediate priority is to get our accounts cleaned up and ready for our Australian accountant, including preparation work for the overdue FY2025 tax return and BAS.

The work

You will be responsible for helping us get back on track quickly, including:

• Finalising bookkeeping for the financial year ended 30 June 2025
• Preparing clean, reconciled accounts for our Australian accountant to complete the FY2025 tax return
• Catching up overdue BAS preparation work
• Reviewing Shopify / A2X / Xero flows and identifying any issues or inconsistencies
• Reconciling bank accounts, Shopify Payments, PayPal, Afterpay, Stripe, Shopify payouts, and clearing accounts
• Accounts payable processing and supplier bill entry
• Reviewing the balance sheet for obvious issues, unreconciled items, or mis-postings
• Helping us catch up on monthly accounts, which are currently about two months behind, with some fixes required for earlier months
• Handling other bookkeeping and accounting tasks that arise during the contract
• Flagging workflow problems and recommending practical process improvements
•  

This is not just a transaction-processing role. We need someone who can work independently, spot problems, ask good questions, and help create a cleaner bookkeeping workflow going forward.

About the business

• Australian e-commerce business
• Three Shopify stores
• Uses Shopify, A2X, and Xero
• GST-registered Australian entity
• Remote team
• Needs fast catch-up work and strong attention to detail

What I’m looking for

Essential:

• At least 5 years of bookkeeping or accounting experience
• Strong Xero experience
• Strong attention to detail
• Ability to work independently and move quickly
• Comfortable working remotely with clear written communication
• Able to start immediately or very soon
• Available full time, approximately 40 hours per week, for one month

Highly preferred:

• Experience with Australian GST and BAS
• Experience with Shopify + A2X + Xero bookkeeping flows
• Experience with e-commerce businesses, especially multi-store Shopify setups
• Experience reconciling payment gateways, Shopify payouts, clearing accounts, and inventory / COGS-related entries
• Willingness to work Sydney business hours during the contract, or at minimum provide meaningful overlap with Sydney time

Hours and timezone

Ideally, I’m looking for someone who can work Sydney business hours for the one-month contract.

I understand this may be night-shift hours for applicants based in Europe, Ukraine, Africa, or similar time zones. If you cannot work full Sydney hours, please tell me what Sydney-time overlap you can reliably provide.

Minimum requirement: at least 4 hours overlap with Sydney business hours when needed.

Contract length and pay

• Contract length: 1 month initially
• Workload: Full time, 40 hours per week, 5 days per week, for the full month
• Budget: approximately USD $1,500–$3,500 per month, depending on experience and availability
• Start date: as soon as possible

There may be potential for ongoing work if the first month goes well, but the immediate requirement is a focused cleanup contract.

About you

You are:

• Detail-oriented and highly organised
• Experienced enough to hit the ground running
• Comfortable working with incomplete or messy accounts
• Good at identifying problems, not just entering transactions
• Clear and proactive in communication
• Reliable with deadlines and working hours
• Comfortable asking questions early rather than guessing

To apply

Please include the following in your application:

1. The last e-commerce business you provided bookkeeping services for, including the platform used.
2. A brief summary of your experience with Shopify, A2X, and Xero.
3. Your experience with Australian GST, BAS, and Xero bookkeeping.
4. Your availability to start.
5. The hours you can work in Sydney time.
6. Your expected monthly rate in USD for a full-time one-month contract.
7. Confirmation that you can commit to 40 hours per week, 5 days per week, for the full month.
8. One example of a messy bookkeeping cleanup you have completed and what you fixed.

Applications that clearly answer these questions will be prioritised.

Looking forward to hearing from you,

Wes

We are looking for a Senior Data Analyst to join our global team. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place.

 Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.
  
  Responsibilities:
• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.
   

Requirements:

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.
   

Nice to have:

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.

Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

We are looking for a Senior Data Engineer to join our team. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated - both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.

Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.

We are looking for an experienced E-Commerce Business Analyst / Pre-Sales Lead to support both the discovery and delivery phases of complex e-commerce projects. You will work closely with technical teams, prospective and existing clients to understand business needs, define requirements, and help shape suitable e-commerce solutions.

This position requires being an expert in e-commerce domain, so prior expertise in this area is a must. We expect you to have at least 3 years of recent experience with  e-commerce platfors like Magento/Adobe Commerce, SFCC, Shopify, Shopware or similar, and understanding of both B2C and B2B processes, as well as understanding of ERP, PIM and other e-commerce-related tools.

You will be responsible for the pre-sale process, including understanding client's business and existing e-commerce solution, anticipating, collecting and analysing business and technical requirements, translating them to formal documents, participating in estimations, making sure that the proposed solutions address the requirements and preparing proposals. 

Oftentimes the calls exceed European business hours, as we work with the US clients and our team is distributed between Atlantics. 

This role is ideal for a career-minded person with strong analytical and communication skills who enjoys combining requirements engineering, client interaction, and solution-oriented thinking.

Our company is an established agency with presence in the US and the UK, with international mid+ to enterprise clients, so fluent English and experience with big e-commerce projects is critical.

We’re looking for a Senior Backend (Python) Engineer to join our team. 

Work Location: Poland (Krakow), Slovakia (Kosice) or Czechia (Prague). 

Hybrid: 2+ days per week in the office, the rest remote.

The Mission

We are building a complex, real-time ecosystem for micromobility and logistics systems sim—where split-second logistics meet seamless user experiences. We need a Senior Backend (Python) Engineer powerhouse to lead the development of our Customer Mobile Web App and our high-utility Internal Admin Panels.

You’ll be the bridge between the sleek, high-performance interface our users see and the robust, scalable Python services that power the logic.

Key Responsibilities

• Mobile-First Frontend: Architect and scale our React-based mobile web application, ensuring 60fps performance and offline-first capabilities.
• Operational Control Centers: Build dense, data-heavy Admin Panels that allow our operations team to monitor real-time logistics, manage users, and handle complex dispatching.
• Scalable Backend: Design and maintain performant APIs using Python (FastAPI/Django) to handle high-concurrency event streams.

• End-to-End Ownership: From database schema design to CSS transitions, you’ll own the entire feature lifecycle.

   

Who You Are

• The Architect: You don't just "write code"; you design systems. You understand how a change in a Python microservice ripples out to the React frontend.
• UX Enthusiast: You understand that an Admin Panel requires different UX "muscle" (efficiency and density) than a mobile app (simplicity and speed).
• Problem Solver: You’ve dealt with the "hard stuff"—real-time GPS tracking, race conditions in booking logic, or complex state management.
• Pragmatist: You balance the need for clean, tested code with the reality of shipping features in a fast-paced environment.

Will be plus Led transformation of standalone product into scalable SaaS platform.

Why Join Us?

Work on a product with immediate, real-world impact.

A "no-red-tape" environment where your architectural decisions stick.

Layer Technology

Frontend - React Native Expo, Styled Components, Mobx/Redux, WebSockets. Experience with Firebase, Expo SDK, Expo Modules.

Backend-  Python (FastAPI / Django / Flask)

Database - PostgreSQL, Redis (for real-time caching)

Infrastructure - AWS/GCP, Docker, Kubernetes

Real-time-  WebSockets / Socket.io (for "Uber-style" live tracking)

Requirements & Skills - 

• Proven experience in Python and backend development using FastAPI, Django, or Flask.
• Strong understanding of geospatial data structures (GeoJSON, latitude/longitude).
• Understand principles of cloud native development
• Usage of docker for development environment
• Familiar with Kubernetes (application lifecycle and environment)
• Familiar with Helm charts (their maintenance and usage)
• Familiar with ArgoCD, Grafana, Github
• Nice to have - familiarity with helmfile

Required Skills

• 5+ years of experience with Python, primarily in backend development
• Python: Advanced
• FastAPI / Django / Flask

Language Skills

English: Upper intermediate (B2)

We offer

• Challenging and rewarding tasks with autonomy in a distributed international team
• Motivated colleagues who foster a collaborative environment
• Competitive salary based on your experience and expertise
• 20 vacation days + state holidays + your birthday off (for full-time employees)
• Sick leave coverage (5 days for full-time employees)
• Opportunities for regular business trips abroad

SOFTSWISS is looking for a Systems Engineer to join our security team and take ownership of the infrastructure behind our security systems.

Purpose of the role:

As a Systems Engineer, you will be responsible for designing, building, and maintaining the infrastructure that powers the company’s security systems. You will ensure high availability, scalability, and reliability of security platforms, while driving automation, improving operational efficiency, and supporting secure integrations across cloud and on-premise environments.
 

Key responsibilities:

• Design, deploy, and maintain the security team infrastructure.
• Ensure high availability and reliability of security platforms through proactive monitoring, alerting, and capacity planning.
• Manage and evolve cloud infrastructure across datacenter dedicated servers and cloud providers.
• Automate routine operational tasks: provisioning, configuration management, patching, and secret rotation.
• Troubleshoot and resolve infrastructure incidents as the primary technical owner.
• Maintain infrastructure documentation: architecture diagrams, runbooks, and change logs.
• Collaborate with security engineers to ensure underlying platforms meet tooling and integration requirements.

Required Experience:

• 5+ years of hands-on Linux system administration experience in production environments
• Deep expertise in Linux internals: systems, networking stack, storage, performance tuning
• Solid understanding of networking fundamentals: TCP/IP, DNS, TLS, routing, firewalling (iptables / nftables)
• Experience with bare-metal and dedicated server environments (Hetzner or similar providers)
• Hands-on experience deploying, operating, and hardening Kubernetes clusters in production, including cluster lifecycle management, CNI networking (Cilium preferred), storage, RBAC Experience deploying, configuring, and operating ClickHouse and PostgreSQL in a production environment
• Hands-on experience operating and maintaining Keycloak in production, including HA setup, backend management, realm/client configuration
• Understanding of identity protocols: OIDC, SAML 2.0, OAuth 2.0 Hands-on experience operating infrastructure across cloud platforms and dedicated servers, including compute, networking, storage, and cost optimisation
• Proficiency in Infrastructure as Code: Terraform, SaltStack, Ansible
• Strong scripting skills: Python and/or Go for automation and operational tooling
• Experience building and maintaining monitoring stacks: Prometheus, Grafana, Alertmanager
• Familiarity with log management and aggregation: Vector, Loki, or ELK
• Clear and structured written and verbal communication skills.
• Upper-Intermediate (B2) or higher English level 
   

Nice to have:

• Experience with Talos Linux or other immutable / minimal OS distributions
• Experience with secrets management: HashiCorp Vault / OpenBao, dynamic secrets, PKI
• Knowledge of ClickHouse integrations: Vector pipelines, S3-compatible object storage backends
• Experience in multi-cloud or hybrid infrastructure environments
• Relevant certifications: CKA (Certified Kubernetes Administrator), OCI Architect Associate, Linux Foundation LFCS

About the Role

We’re seeking a  Business Analyst to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.

Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation:

Feature Delivery (50% of your time) 

• Manage product backlog for development teams, ensuring 2+ sprints are always groomed 
• Write detailed user stories with clear acceptance criteria and edge cases 
• Conduct bi-weekly sprint planning and weekly backlog refinement sessions 
• Ensure 95%+ of releases ship on scheduled dates - no delays, no excuses 

• Remove blockers proactively to keep teams on track 

   

Technical Documentation (20%) 

• Prepare Business Requirements Documents (BRD) outlining business objectives and scope 
• Write comprehensive Product Requirements Documents (PRD) including:  
• Functional specifications and user flows 
• API specs, data models, integration requirements 
• Technical constraints and performance considerations 
• Acceptance criteria and test scenarios 

• Maintain clear documentation in Confluence for engineering and stakeholders 

   

Quality & Incident Management (15%) 

• Drive bug reduction initiatives - target <3% bug escape rate 
• Manage P0/P1 incidents: triage within 30 minutes, resolve within 4 hours 
• Document post-mortems with root cause analysis and preventive actions 
• Track quality metrics: bug rates, regression issues, technical debt 

• Collaborate with QA on test coverage and automation priorities 

   

Metrics & Reporting (15%) 

• Track team performance: velocity, cycle time, lead time, commitment accuracy 
• Build dashboards in Jira showing real-time delivery health 
• Present quarterly metrics to CPO showing delivery trends and quality improvements 
• Coordinate with stakeholders: Customer Success (weekly), Sales (bi-weekly), Support (weekly) 

Report To: Chief Product Officer (CPO)
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst  or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response

• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

   

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track

• Incident Management: Experience triaging and coordinating response to production issues

   

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking

• Design: Figma collaboration for UI/UX specifications

   

   

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams
• Customer-centric: Understands impact of delays and bugs on customer experience

🌟 Nice-to-Have (Bonus Qualifications)

Experience

• 5-7+ years product ownership experience (for Senior-level consideration)
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)

• Experience managing API products or developer-facing features

   

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing

• Performance testing: Understanding of load testing and scalability considerations

   

Why Join Proxima CRM?

Execution Impact: Your work directly affects customers. Every feature you deliver improves their workflow and business outcomes.

Quality Culture: We value doing it right over doing it fast (but we do both). You’ll have support to maintain high standards.

Modern Processes: We use best practices in Agile, documentation, and incident management. You’ll work with experienced teams.

Growth: Early product ownership hires have opportunities to take on more scope, mentor others, and grow into leadership roles.

Flexibility: True remote-first. Work from anywhere with flexible hours and async-first culture.

Proxima CRM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Department: e-Health & AI
Reporting to: Head of AI & Data
Working hours: Full-time, 9:00 AM - 6:00 PM CET

Project Overview
We are looking for a Senior NLP & Python Developer to join a product team building a Clinical Trial Management System (CTMS) for research sites.
The platform helps clinical research organizations activate and manage studies efficiently while ensuring full regulatory compliance. A major component of the system is an AI-powered protocol intelligence engine that analyzes complex clinical trial protocols (100–400+ page medical documents) and converts them into structured workflows.

The AI system extracts and processes:
* Schedule of Assessments (SoA)
* Visit structures and timelines
* Inclusion / Exclusion criteria
* Investigational product requirements
* Regulatory and operational tasks

This is a technically demanding environment requiring:
* RAG pipeline architecture
* medical document parsing
* structured data modeling
* deterministic AI output design
* traceability and auditability
* validation-ready engineering practices aligned with regulated environments

Tech Stack
Backend / Infrastructure
* Python 3.x
* FastAPI
* SQLModel / SQLAlchemy
* PostgreSQL
* pgvector
* Docker / Docker Compose
* Celery
* Redis
* RabbitMQ

AI / NLP
* LangChain
* LangGraph
* RAG pipelines
* embeddings
* vector search
* LLM orchestration
* NER models
* VLMs
* document extraction pipelines

Engineering / Quality
* CI/CD
* structured logging
* observability / monitoring
* automated testing
* secure coding practices

Team Structure
Cross-functional product team including:
* Senior ML/Python Engineer
* ML Architect
* Frontend Engineer
* QA Engineer
* Business Analyst
* Project Manager

Responsibilities
AI / NLP Architecture
* Design and optimize RAG-based pipelines for medical protocol parsing
* Refactor LangChain workflows for scalability, modularity, and cost efficiency
* Implement dynamic model orchestration based on task complexity
* Improve explainability and traceability of AI outputs
* Build deterministic transformation layers from extracted AI output to executable workflows
* Optimize vector search performance
* Integrate external regulatory and medical knowledge sources
* Develop document/content classification pipelines

Backend & Data Architecture
* Design scalable PostgreSQL schemas
* Model complex clinical entities:
  * Studies
  * Visits
  * SoA
  * Eligibility criteria
  * Regulatory tasks
* Ensure audit trail capabilities
* Improve database performance and transactional consistency

System Hardening & Validation
* Implement monitoring and structured logging for AI pipelines
* Improve reproducibility and explainability
* Expand automated testing coverage
* Support validation readiness for regulated environments
* Enforce secure engineering practices

DevOps & Scalability
* Maintain Docker-based deployments
* Improve CI/CD workflows
* Support monitoring and error tracking
* Ensure scalability for multi-site / multi-study usage

Required Experience
Backend / Architecture
* 5+ years with Python
* Strong FastAPI experience
* Deep SQLAlchemy expertise
* Strong PostgreSQL knowledge (schema design, indexing, migrations, tuning)
* Experience with Docker-based deployments
* Experience with Celery / Redis / RabbitMQ
* Strong system architecture skills
* Experience with document extraction systems

NLP / AI
* Hands-on experience with LangChain
* Production RAG implementation experience
* Experience with vector databases (preferably pgvector)
* Knowledge of embeddings and model orchestration
* Prompt engineering experience
* Experience designing deterministic AI systems

Domain Experience
Experience in regulated industries is strongly preferred:
* healthcare
* life sciences
* fintech
* other compliance-heavy environments

Nice to Have
* GxP / validation-ready AI systems experience
* experience with pre-commit / Ruff / Poetry
* large-scale system re-architecture experience

Ideal Profile
Looking for someone who:
* thinks architecturally, not just feature-by-feature
* can balance AI innovation with production reliability
* is comfortable in early-stage product environments
* communicates well across engineering, product, and QA teams
* has real production AI/NLP ownership, not only experimentation or prototypes



Start date: beginning of June
Duration: 6 months
Working hours: 9 AM – 6 PM CET
Payment terms: 40 days

We are looking for a Full Stack Engineer to join enterprise AI projects focused on intelligent automation, AI integrations, and modern internal platforms.
You’ll work on scalable web applications powered by Python, React, cloud technologies, and LLM-based features.

Requirements

• Strong experience with Python
• Experience with FastAPI or similar backend frameworks
• Commercial experience with React.js
• Experience building REST APIs and full stack applications
• Familiarity with cloud platforms (preferably Azure)
• Understanding of scalable architectures and software engineering best practices

Nice to Have

• Experience with AI/LLM integrations
• Familiarity with LangChain, LangGraph, or AI agent frameworks
• Experience with Azure OpenAI or similar AI services
• TypeScript, Docker, CI/CD experience
• Experience with async processing, queues, or event-driven systems

Responsibilities

• Develop and maintain full stack applications
• Build backend services and frontend interfaces
• Integrate AI capabilities into enterprise products
• Collaborate with engineering and product teams
• Contribute to architecture, deployment, and performance improvements

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.

This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.

At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.
 

Customer

Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.
 

Project

We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices
  
  Requirements
• At least 5 years of commercial experience in Software Engineering, Data Engineering, or AI systems development
• Strong production experience with Go, Rust, Scala or Python
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English
   

Will be a plus:

• Background in Data Engineering
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

IT Outsourcing / Dedicated Engineering Teams

Remote (Europe / Ukraine) • International travel

🚀 About Us

We are building a high-performance software development company focused on long-term engineering partnerships with startups and tech companies in Europe and the US.

We are a software development company delivering high-quality engineering teams and software solutions for SaaS startups and technology companies in the US and Europe.

Our team consists of experienced engineers and strong delivery management. 

We don’t sell “developers”.
We build dedicated teams that actually deliver.

Our founders are deeply involved in delivery and sales, which means:

• no fake promises to clients
  strong technical credibility in every deal
• real impact, not just sales activity

We are now entering a scaling phase and looking for a Senior Business Development Manager who will help us grow internationally.

Role Mission

The mission of the Senior Business Development Manager is to build a predictable sales pipeline and close new partnerships with SaaS companies in the US and Europe.

The BDM will work closely with company founders and lead the commercial side of the sales process.

Key Responsibilities

New Business Development

• Identify and research target SaaS companies in US and EU markets
• Build and manage a structured target list of potential clients
• Generate outbound opportunities independently through LinkedIn, email and networking
• Conduct discovery calls with potential clients
• Build and manage a healthy sales pipeline

Conference Sales

• Identify relevant international tech conferences and events
• Prepare conference participation strategy together with founders
• Pre-book meetings with target companies before conferences
• Attend international conferences together with company founders
• Lead sales conversations and present company services to prospects

Sales Process & Deal Closing

• Lead client discovery and qualification process
• Identify client needs and propose cooperation models
• Present company services (outsourcing, outstaff, dedicated teams)
• Prepare proposals and coordinate with delivery team
• Negotiate contracts and close deals with new clients

Pipeline Management

• Maintain CRM and track all sales activities
• Manage follow-ups and nurture prospects
• Develop long-term relationships with clients

Cooperation Model with Founders

The Senior BDM leads the commercial side of the sales process.

Typical sales flow:

BDM → lead generation and outreach
BDM → discovery calls and opportunity qualification
Founder → technical expertise and delivery credibility
BDM → negotiation and deal closing

Founders participate in key meetings to demonstrate technical expertise and delivery capabilities.
Required Experience

• 5+ years of experience in Business Development or Sales
• Experience selling IT outsourcing / software development services
• Proven track record of selling services to US or EU clients
• Experience building sales pipeline through outbound activities

Mandatory Sales Track Record

Candidates must demonstrate proven experience in closing service contracts.

Required:

• Successfully closed multiple deals valued $50,000+
• Experience negotiating and signing long-term service agreements
• Experience managing complex B2B sales cycles
• Ability to build and manage pipeline independently

Key Skills

• Strong outbound sales and pipeline building skills
• Excellent negotiation and communication abilities
• Experience working with SaaS founders and CTOs
• Ability to build long-term client relationships
• Fluent English

Conference Experience (Important)

• Experience attending and selling at international tech conferences
• Ability to schedule meetings with prospects before events
• Comfortable representing the company together with founders

Key KPIs (First 6 – 9 Months)

20–30 discovery calls
$300k+ pipeline within first 4 months
$700k–$1M pipeline within 6–9 months
first closed deals within first year

Ideal Candidate

• Hunter mentality and ability to build pipeline from scratch
• Experience selling engineering teams or development services
• Strong networking and relationship-building skills
• Comfortable working with founders in sales process

What Success Looks Like

The successful candidate will build a consistent pipeline of SaaS clients and help the company secure long-term engineering partnerships in US and EU markets.