Jobs Data & Analytics

Project Description:

We are embarking on a critical initiative to achieve ISO 81001 compliance for our esteemed client. ISO 81001 is a pivotal standard for health informatics, specifically focusing on the management and security of health information systems. This project aims to ensure Client's digital infrastructure aligns with the stringent requirements set forth by ISO 81001, safeguarding sensitive healthcare data and bolstering cyber resilience.

Responsibilities:

Conduct a thorough assessment of Client's existing IT infrastructure, policies, and procedures against ISO 81001 requirements.
Identify gaps and vulnerabilities that need to be addressed to achieve compliance.
Collaborate with cross-functional teams to design and implement robust security controls aligned with ISO 81001 standards.
Deploy necessary security measures to protect Client's health information systems and data assets.
Draft and enhance security policies, procedures, and guidelines tailored to ISO 81001 specifications.
Ensure policies are communicated effectively and integrated into Client's operational framework.
Perform risk assessments and develop risk management strategies to mitigate cyber threats and vulnerabilities.
Implement proactive measures to enhance Client's cyber resilience in alignment with ISO 81001.
Conduct training sessions and workshops to enhance cyber security awareness among Client staff.
Foster a culture of security consciousness and best practices across the organization.
Establish monitoring mechanisms to track ongoing compliance with ISO 81001 requirements.
Conduct regular audits and assessments to ensure sustained adherence to security standards.
Develop incident response protocols and procedures to swiftly address and mitigate security incidents.
Continuously assess and refine security strategies based on emerging threats and industry developments.

Mandatory Skills Description:

Bachelor's degree in Cyber Security, Information Technology, or a related field.
Proven experience in cyber security, particularly in compliance initiatives (ISO standards preferred).
Strong understanding of health informatics and data security within healthcare environments.
Excellent analytical skills with the ability to assess complex systems and processes.
Effective communication skills to engage stakeholders and drive security initiatives forward.

Nice-to-Have Skills Description:

Agile

We are building an agentic AI platform for enterprise teams, delivered as a single-tenant install into each customer's cloud. Every architectural decision has to work for one customer or fifty, in AWS, Azure, or GCP, behind their identity provider, on their data.

We're hiring a Staff (or Senior Staff) Engineer to own the technical direction of the platform. You'll set the architecture, lead the hardest engineering work hands-on, and partner with the Forward Deployment team to make sure what we build actually deploys cleanly into customer environments. This is an individual contributor role with broad authority — you won't manage people, but you will set the technical bar for the engineering team and be the deciding voice on cross-cutting decisions.

Requirements for the candidate
Must-Have Qualifications
- Staff-level scope — 10+ years engineering experience, with at least 3 at the staff level or equivalent (principal IC, technical lead of a major system, founding engineer). Title matters less than scope demonstrated
- Production LLM systems — has built, shipped, and operated LLM-based applications at scale. Prompt engineering, RAG, tool-using agents, prompt-injection defense, evaluation pipelines. Has managed cost and latency, not just prototypes
- Multi-tenant SaaS architecture — has shipped a multi-tenant product and knows the trade-offs between shared-everything, shared-database, and silo deployments. Has opinions on when each is right
- Distributed systems foundation — idempotency, eventual consistency, queue-based async, distributed locking. Has implemented or operated these in production, not just read about them
- Security architecture — has designed an authn/authz system end-to-end. OWASP top 10 as patterns you've prevented in code reviews, not a list to memorize
- Deep proficiency in Python; comfortable enough in TypeScript/Node to read and review
- PostgreSQL under load — pool tuning, indexes, replication, online migrations. Working knowledge of pgvector or comparable vector store
- Cloud-native architecture — strong in AWS at minimum, with working understanding of at least one of Azure or GCP. Knows what's portable and what isn't
- Decisive on hard calls — comfortable being the deciding vote on architectural questions when there's no clean answer

Candidate responsibilities
Platform Architecture
Own the architecture of the AI platform end-to-end — agent orchestration, tool execution, memory, retrieval, observability, identity, authorization
Make and document the irreversible decisions: data model, async patterns, caching strategy, deployment topology
Lead the LangGraph-based agent framework: supervisor patterns, specialist agents, evaluation harnesses, regression suites
Author and review every significant ADR; keep the architecture coherent as the product and team grow

Multi-Tenant & Customer-Cloud Foundations
Design data isolation, identity, and authorization to work in single-tenant customer-cloud installs from day one — and to scale to a managed multi-tenant offering when the time comes
Own the integration with WorkOS (multi-tenant SSO broker) and Cerbos (centralized policy decision point) — schema, deployment topology, policy bundle workflow, customer customization boundary
Define the boundary between platform-owned code and customer-customizable layers (policies, prompts, tools, schemas, model choices)
Partner with the Forward Deployment team to make sure every architectural choice has a clean install story across AWS, Azure, and GCP

LLM & Agent Safety
Lead the design of guardrails and AI safety mechanisms — prompt-injection defense, output validation, PII handling, evaluation pipelines
Own the integration with our Athena guardrail router and the safety contracts agents must meet before they ship
Drive cost discipline on LLM workloads — caching strategy, model routing, token budgeting, latency targets
Make every agent decision auditable — observable, traceable, replayable, and defensible to a customer's security team

Hands-On Engineering
Personally lead the hardest work — distributed systems edge cases, performance investigations under load, security architecture, novel agent patterns
Write code and reviews, not just docs. The IC bar at staff level here is high
Pair with engineers on hard problems; raise the technical level of every review you touch
Be on point for production incidents that touch architecture; own the postmortem

Mentorship & Cross-Functional
Mentor senior engineers; be the person they go to when they want to do something technically ambitious
Be the engineering voice in customer technical conversations — CISO reviews, architecture deep-dives, incident escalations
Partner with the Senior Manager, Forward Deployment on customer-facing technical decisions where deployment shape and platform shape have to agree
Partner with product to translate roadmap into technically coherent quarterly commitments and an honest dependency map

We are looking for a Data Engineer with 3+ years of commercial experience to help build and scale a modern data platform. In this role, you will work on developing and maintaining data pipelines, creating data models, and ensuring data quality and reliability.

Requirements:

• 3+ years of experience in data engineering or backend development.
• Experience with Java development
• Strong knowledge of SQL and database technologies.
• Hands-on experience with ETL/ELT processes and data modeling.
• Understanding of modern data architectures (data lakes, data warehouses).
• Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
• Experience with big data technologies (e.g., Spark, Kafka, Hadoop) is a plus.
• Experience integrating AI/analytics solutions into data workflows is a plus.
• Understanding of software engineering best practices, including testing, CI/CD, and version control.
• Strong problem-solving and communication skills.
• Ability to collaborate effectively in a distributed team environment.
• Availability for 1–2 hours of overlap with U.S. Central Time business hours (9:00 AM — 5:00 PM CT).

• Experience working in an Agile environment.

   

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines and data architectures.
• Develop and optimize data models for analytics and reporting needs.
• Integrate data processing and analytics solutions to improve data workflows.
• Translate business and technical requirements into reliable data solutions.
• Implement data quality checks and monitor pipeline performance.
• Troubleshoot data issues and improve reliability and scalability.
• Participate in code reviews and follow data engineering best practices.
• Work with cloud services and data processing tools to optimize performance and costs

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an Senior AI Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Research and solve complex algorithmic and AI challenges.
• Design and improve AI algorithms using LLMs, ML, and mathematical optimization.
• Build production-ready AI solutions combining traditional algorithms with modern LLM architectures.
• Develop intelligent pipelines that transform engineering workflows using AI.
• Collaborate with Product and Engineering teams to bring cutting-edge AI research into production.
   

Requirements:

• 5+ years of experience in AI, Machine Learning, or Algorithm Engineering.
• Strong background in mathematics, optimization, and algorithm design.
• Deep understanding of machine learning and deep learning.
• Experience with object detection, segmentation, or computer vision models.
• Strong knowledge of graph algorithms, computational geometry, or optimization techniques.
• Hands-on experience with PyTorch, TensorFlow, or similar frameworks.
• Experience developing custom AI algorithms and integrating LLMs into real-world products.
• Experience deploying AI systems to production.
• Experience with AWS (S3, Lambda, Step Functions, Bedrock).
• Experience building LLM applications using LangChain or similar frameworks.

Nice to have:

• Graph Neural Networks (GNNs).
• PDF/SVG parsing and document intelligence.
• Django or FastAPI.
• RAG, AI agents, and multi-agent systems.
• Research publications, Kaggle, hackathons, or AI competitions.

Master’s or PhD in Computer Science, AI, Mathematics, or related fields.

Why this role?

• Work on real AI, not AI wrappers.
• Solve challenging problems at the intersection of LLMs, algorithms, optimization, and computer vision.
• Influence the core AI technology powering the next generation of electrical engineering automation.
• Collaborate directly with founders and own technical decisions from research to production.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

Location: Remote

Type: Full-Time 

Working hours: Must be available at least until 2:00 PM NYC time (Kyiv time 14:00–22:00)

Salary: Based on experience

Company Introduction

Ultiself is the #1 biohacking and self-improvement app on the App Store and Google Play. We use AI to build personalized daily routines that help people improve their health, productivity, and overall well-being.

Our primary marketing channels are Facebook, Instagram, and TikTok. As we continue to scale, we are looking for a strong Marketing Data Analyst to support and improve our analytics infrastructure, ensure data accuracy, and help drive data-informed decisions across marketing and product teams.

Who We Are Looking For

We are looking for an experienced analyst who: 

• Has strong expertise in marketing and product analytics
• Understands user acquisition funnels, attribution, and conversion tracking
• Can independently identify, investigate, and resolve tracking issues
• Is comfortable working with large datasets and transforming data into actionable insights
• Enjoys working in a fast-paced, growth-oriented environment
• Has strong analytical thinking and problem-solving skills

Main Responsibilities:

• Collaborate with developers to maintain and improve tracking and attribution systems
• Create weekly and monthly reports on marketing and product performance
• Analyze user behavior and identify opportunities to improve conversion, retention, and engagement
• Design, execute, and evaluate A/B tests across landing pages, onboarding flows, and app store listings
• Monitor analytics implementations and quickly resolve tracking discrepancies or data quality issues
• Ensure data accuracy and consistency across all reporting systems
• Conduct competitor research and provide recommendations to improve business performance and conversion rates
• Support decision-making with data-driven insights and clear reporting

Requirements:

• English level B1 or higher
• 3+ years of experience in marketing, product, mobile app, or web analytics
• Strong experience with:
• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• BigQuery
• Google Cloud Platform (GCP)
• Amplitude
• Tableau and/or Looker Studio
• Strong understanding of attribution models, conversion tracking, KPIs, and marketing performance metrics
• Advanced Excel/Google Sheets skills
• Strong SQL skills
• Experience building dashboards and visualizing data for business stakeholders
• Ability to work independently and manage multiple priorities

Nice to Have

• Experience with Mixpanel
• Experience with Firebase or other mobile analytics platforms
• Experience integrating analytics platforms such as Amplitude or Mixpanel with AI-powered workflows, models, or automation systems
• Experience in health, wellness, self-improvement, or subscription-based mobile applications
• Experience working with CRM platforms such as ActiveCampaign, Infusionsoft, or similar tools
• Knowledge of Python or other analytical programming languages
• Additional language skills (Ukrainian, Spanish, etc.)

Interview Process:

• Interview with HR (30 mins)
• Interview with Operations Manager and Lead of Analytics (1 hour) 
• Interview with CEO (30 mins)

What We Offer

• Fully remote work with flexible hours
• 5 paid sick days per year
• 20 paid vacation days per year (after probation period)
• Opportunity to work on a fast-growing global product
• A collaborative team with real opportunities for professional growth and career development

Please send your resume and we will get back to you within 5-7 business days.

We look forward to hearing from you and potentially building something great together!

We are looking for a Senior AI/Machine Learning Engineer to join a healthcare project from the Netherlands focused on simplifying preparation for orthopedic surgeries. The product uses artificial intelligence to automatically analyze 3D images of the skeletal system and support surgical planning. In this role, you will focus on continuing and improving the X3D pipeline (X-ray to 3D bone reconstruction) and integrating it into the web application.
 

Requirements:
— 5+ years of commercial experience in Machine Learning/AI engineering.
— Strong experience with PyTorch and deep learning model training, evaluation, and optimization.
— Solid background in medical image analysis (CT, X-ray) and/or 3D computer vision.
— Strong understanding of image processing fundamentals, including registration, segmentation, and data augmentation techniques.
— Familiarity with GAN architectures (Pix2Pix, CycleGAN) and encoder-decoder networks.
— Experience working with medical imaging file formats (NIfTI, DICOM).
— Ability to read and implement techniques from research papers.
— Proficiency in Python and scientific computing libraries (NumPy, SciPy, SimpleITK or similar).
— Self-directed and independent working style with the ability to effectively collaborate under technical guidance.
— Upper-Intermediate or higher level of English (spoken and written).

Nice to have:
— Experience with 3D shape reconstruction or 3D mesh processing.
— Familiarity with DRR generation from CT volumes.
— Experience with Azure ML or similar cloud ML platforms.
— Background in orthopedic or musculoskeletal imaging.
— Experience in a medical device or regulated environment (FDA, CE).

Responsibilities:
— Improve and extend the existing X3D pipeline for X-ray to 3D bone reconstruction.
— Design, train, evaluate, and optimize deep learning models for medical image analysis and 3D reconstruction tasks.
— Work with medical imaging data (CT, X-ray, DICOM, NIfTI) and implement preprocessing, augmentation, segmentation, and registration techniques.
— Research, prototype, and implement new approaches from academic papers and industry best practices.
— Integrate machine learning solutions into the web application and support deployment workflows.
— Collaborate closely with the Head of Engineering to further develop and productionize the existing AI pipeline.
— Maintain code quality through testing, documentation, and continuous improvement of ML infrastructure and development processes.

Interview stages:
— HR interview (30 minutes).
— Technical interview (1 hour).
— Interview with the customer (1 hour).
— Job offer 🎉🎉🎉

We offer:
— Competitive salary.
— Challenging tasks and projects.
— Opportunities for professional development and growth.
— Flexible working hours.
— New hardware.
— Free English lessons.
— Table tennis and yoga classes.
— Availability of generators and Starlinks in the office.
— Small gym in the office.
— Adjustable height tables.
— Regular office fruit delivery and other benefits.

Let’s create value together!

Requirements
 

🔹0,5+ years of commercial experience as a Business Analyst 

🔹Strong understanding of Agile software development methodologies

🔹Practical experience with key business analysis techniques and requirement management tools

🔹Proficiency in identifying and translating business needs into clearly defined requirements

🔹Experience in drafting functional / business / system requirement specifications

🔹Experience in working with stakeholders and requirements elicitation

🔹Excellent interpersonal and communication skills

🔹Upper-intermediate level of English (both written and spoken)
 

Will be a plus
 

🔹Knowledge of business process modelling (BPMN, UML)

🔹Experience in Business Intelligence systems and data analysis

🔹Ability to create UI wireframes supplementing project specifications

🔹Knowledge of the basics of project and product management

🔹Experience with the major task tracking systems (Trello, Jira, ClickUp, Asana)

🔹Technical background (QA, software development, or data engineering)

🔹Experience in using relational or NoSQL DBMS
 

We offer
 

🔹Personalized professional development plan to the Middle and Senior levels

🔹Your own career path to perfect your skills in the areas of BA / BI / PdM / PM

🔹Individual mentoring, continuous knowledge sharing, and BA team workshops

🔹Opportunity to work with the high-skilled engineering team on challenging projects

🔹Open environment that facilitates professional freedom and growth
 

Benefits
 

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals:
 

Professional
 

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK
 

Quality of life
 

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices
🔹There are other small things, like gym or massages

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest

🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠
 

Responsibilities
 

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analysing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Follow your passion, create exciting products inspired by industry experts, and work on complex business  solutions until they reach global market recognition. Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team!

Follow our social media -  Instagram, Facebook, Linkedin, YouTube

Required Skills

🔹Knowledge of the Business Analysis basics

🔹Strong critical thinking skills

🔹Superb communication skills

🔹Good organizational and leadership instincts

🔹Upper-intermediate English level (speaking and writing)

Personal qualities

🔹You are detailed-oriented and passionate about the quality of your results

🔹You are constantly learning new trends in IT business analysis and management

🔹You have high empathy and deep understanding of the needs of the people around you

🔹You are easygoing and professional: punctual, balanced, with good self-management abilities

Skills that will be an advantage

🔹Technical Background (QA, design, development, etc.)

🔹Management experience not related to IT

We offer

On the Internship (duration: up to 2-3 months - depends on your performance)

🔹Individual training conducted by a lead Business Analyst

🔹Course that covers all the bases and targets real-life scenarios

🔹Practical tasks with gradually increasing complexity on several projects

🔹Guided participation in a BA service interacting with clients and engineers

🔹Experience exchange practice to learn from other BA specialists
🔹Scholarship per every month of internship 

After the Internship

🔹The position of Junior Business Analyst in the company
🔹Personalized professional development plan to the Middle and Senior levels

🔹Continuous professional training focused at enhancing BA / BI / PdM / PM skills

🔹Further individual mentoring, continuous knowledge sharing, and BA workshops

🔹A variety of challenging projects and the highly-skilled engineering team

🔹Open environment that facilitates professional freedom and growth

Benefits

We offer a number of benefits for the team members to improve their quality of life and help with achieving professional development goals

Professional

🔹Compensation of professional certifications, courses, IT conferences, and events

🔹Individual and group English classes with native-speaking teachers from US & UK

Quality of life

🔹Our processes are tailored to enable remote work and flexible work schedule

🔹You can choose from a selection of hardware either it is Apple, or PC devices

🔹There are also frequent team retreats, leisure activities, and holiday celebrations

🔹Gifts on personal and professional anniversaries
🔹21 paid days off and 11 national holidays throughout the year to travel and rest
🔹Health program of SysGears

🔹You are a part of a team, we help each other when life knocks one of us down 🤠

Responsibilities

🔹Collaborating with developers, designers, QAs to deliver projects efficiently

🔹Contributing to expert in-house and international teams (from US, UK, and EU)

🔹Communicating with stakeholders to identify their needs and clarify requirements

🔹Analyzing, validating, grooming and documenting requirements to the web & mobile projects

🔹Visualizing business processes and preparing data models for the software projects

🔹Advising stakeholders on the common practices and possible product solutions

🔹Performing competitor and market analysis, assisting in developing product ideas

🔹Communicating project vision and coordinating development with engineering teams

🔹Managing the development workflow applying Agile methodologies

Our aim is to always be the best, grow, improve, and innovate. And we would welcome a like-minded person to become an invaluable part of our team! 

Follow our social media -  Instagram, Facebook, Linkedin, YouTube

At Avanquest, we build software that makes digital life genuinely easier, for everyday users and professionals alike, all over the world. Smooth document management, faster and safer devices, and browsing without the hassle: we spot the everyday frustrations and fix them. Millions of people around the world count on us. And we're just getting started.

We're growing fast, and we're hungry for more. With teams across North America and Europe, we tap into a wide range of perspectives to push our thinking further. AI isn't a buzzword here, it's a real engine for change. We use it to sharpen our products, break new ground, and build experiences that actually move the needle.

Creativity and boldness are welcome at every level. We don't want order-takers, we want builders. The best idea wins, no matter who it comes from. Here, personal ambition and team spirit don't compete, they feed each other. If you want to stretch yourself, make a real impact, and win as a team, you're in the right place.

What you'll be responsible for:

Model Serving & API 

• Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure; 
• Design and maintain a REST API with auth, rate limiting, versioning, and API documentation; 
• Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs. 

Web App Integration 

• Integrate AI features into our web apps and document processing platforms; 
• Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets; 
• Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses. 

Document Orchestration 

• Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction; 
• Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images; 
• Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora; 
• Implement task queues and async workers to handle high-volume document processing reliably. 

Platform & Collaboration

• Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners; 
• Stay current on the open-source model ecosystem and advise on model selection and upgrades.

The profile we're looking for:

• 3+ years of experience across backend, API design, and web technologies;
• Proven track record deploying or integrating LLMs in production (open-source models strongly preferred);
• Hands-on knowledge of REST API design and at least one API framework;
• Experience building AI features in web apps, including streaming and async response handling;
• Familiarity with document processing workflows — OCR, parsing, classification at scale;
• Comfortable designing multi-step orchestration pipelines with task queues, retries, and failure handling;
• Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

Here's what we offer:

Working at Avanquest means thriving in an environment where performance and well-being go hand in hand. We believe in flexibility, balance, and ongoing professional growth.

Here's what's waiting for you:

• A flexible hybrid work model, with the option to work remotely from abroad.
• Competitive pay that recognizes your value and your talent.
• A full insurance package for you and your family.
• A bonus program that rewards your performance and your drive.
• A generous vacation and time-off policy, because we believe in real rest.
• We're committed to growing your potential and investing in your professional development.
• A stimulating, diverse, and multicultural environment where every perspective counts.

We value and support diversity. We are committed to providing an environment that promotes inclusion and respect for all. We therefore encourage women, people of all gender identities, Aboriginal people, and people with disabilities to apply for our positions.

Visit our website: www.avanquestgroup.com

Be a Key Member of the GTM Team at a Video Marketing SaaS that is Powering 10,000s Entrepreneurs’ Businesses

This is not a typical product engineering role, rather you’re gonna be the key technical person, as a fullstack engineer who gets marketing, for the GTM teams @ Vidalytics. Reporting to the CEO who owns these functions. LFG! 

You’ll own tracking, attribution, and all things technical for the marketing and revenue teams.

You will get a crash in marketing, revenue generation, as we’re on the bleeding edge in these regards in many ways. 

These teams move fast, are very data driven and you’d be supported by the larger engineering team, the director of engineering, the director of business intelligence, and other folks from cross-departmental teams. 

We’re Vidalytics.com. A video marketing platform that helps entrepreneurs scale their businesses in the face of bigger, better-funded competitors. We do this with the advanced tools in our video marketing & hosting platform. We’re 9 years old and growing at a sustainable pace each year. And you’re going to be a part of the team that will add a few zeros to that growth rate. 

What You’ll Be Doing (Job Tasks) 

• Own, implement and deploy tracking and attribution across our customer journeys  (Webflow, Vercel, JS snippets), backend, and marketing automations  
• Help marketers get vibe coded projects over the finish line, such as landing pages and small apps creation through Claude Code, Codex, etc. 
• Work closely with the CEO (who doubles as our CMO and Chief Revenue Officer) and our Director of Business Intelligence to super charge GTM data insights 
• Translate vague or loosely defined ideas into concrete, scoped tracking implementations
• Build & deploy fullstack steaks to our web app for GTM tests and tweaks we’re testing. 
• Help the marketing team go AI Native, be more technical and self-sufficient. 
• Add backend hooks and logic to capture events and customer actions server-side. 
• Help maintain attribution integrity across touchpoints, including CRM and ad platforms
• Help deploy server side split tests.
• (Nice-to-have) Write SQL queries to explore data and build funnel or campaign dashboards

Requirements 

• Fullstack engineer who gets marketing 
• Experience with web attribution practices
• Professional experience with AI tools such as Claude Code, Codex, Loveable, Figma Weavy, etc.
• Know your way around page speed analysis tools to squeeze out every ms of latency
• Experience with n8n, Zapier or similar low-code automation tools
• Experience with marketing funnels, ideally Direct Response as well as Google Tag Manager, Meta CAPI, Google Ads, etc. 
• Solid JavaScript skills, especially in-browser tracking and event handling
• Backend fundamentals: you can hook into backend logic and write some code
• Ability to wrangle 3rd party tools like Typeform, Calendly, Webflow, etc.
• Excellent written and verbal English communication
• Strong sense of ownership and ability to work independently with vague or partial specs
• Comfortable aligning data between frontend, backend, and external systems like HubSpot and Intercom
• SQL experience for ad-hoc queries and funnel validation
• Your working hours need to have a strong overload w/ Eastern US time zone. Can discuss further. 

Nice-to-have 😃

• PostHoq & HogQL experience (this is the center of our attribution)
• Dashboarding/visualization experience with Grafana 
• Familiarity with MixPanel or similar product analytics tools
• Basic familiarity with GCP services
• Exposure to Video Marketing
• Experience with Meta's Conversion API Gateway and Signals Gateway
• Knowing your way around the odd reverse proxy setup (for maximizing accuracy through maintaining 1st party tracking infrastructure)
• GDPR, HIPPA and other regulation knowledge

Our Tech & Tooling Stack 🛠

• Frontend: Webflow, React SPA App, custom / Claude Code / Lovable 
• Backend: GCP, PHP 8, Go, Node.js
• Tracking & Attribution: Posthog, MixPanel, GTM, Meta Pixel/CAPI, Google Ads, custom 
• CRM & Automation: HubSpot, Intercom, Chargify, Stripe
• Data & Analytics: BigQuery, MySQL, Grafana, MixPanel, PostHog (for marketing analytics only)
• Widgets: Typeform, Calendly
• AI: Claude, Loveable, Figma Weavy, Midjourney, Perplexity, ChatGPT, Vercel…
  
   

Who You Are (Personality Type) 🦁

• You’re a translator between marketing and code: you ask the right questions, fill in gaps, and get things done.
• Biased toward shipping fast. You deliver in small, valuable chunks.
• Breaking down ambiguous requests? Easy. You enjoy untangling marketing noise into technical tasks.
• Self-organized and proactive. You don’t wait for instructions, you move.
• Clear communicator. You explain technical ideas well – written and verbal.
• You measure twice, cut once. Getting it First-Time-Right is your default.
• Direct and constructive. You give and receive honest feedback with care and clarity.
   

What You’ll Love About Us (Benefits and Perks) 😉

• High performance company culture. You won’t be a cog in a machine. Rather you’ll be a key member of a high performance team that is getting shit done. This is a place to grow and realize your potential, no matter what level you’re at in your career. 
• No office politics. We’re small and flat. There is no bullshit of trying to dance around sensitive topics. Divert resources from other division’s projects. We’re direct, we’re honest, we’re here to accomplish big audacious goals. 
• We value your ideas. At Vidalytics, my door is always open. Need help? Let’s talk! Have a vision for the future of the company? I want to hear it! Think I suck at my job? Help me grow! 
• Rest and relaxation. Employees get 20 days of PTO. 
• Professional development. Want to continue your education? Vidalytics pays for classes, conferences, and more.
• You’re more than an employee, you’re a person. Every co-worker you’ll meet is committed to treating you with respect and kindness. You won’t hear stuff like, “It’s just business.”
• This is a resume-making position, where you’ll learn a lot and have a lot of responsibility. You don’t have to wait for someone to die or retire to move up, like in a mega-corp. 
• Entrepreneurial to our core – Not only are we a startup, but we need intrapreneurs that will help us scale, and we’re looking to start other sister corps in time to form a portfolio of companies, which you could be a co-founder of.

Vidalytics’ Values 

(Yes, We’re Actually Serious About These) 😇

Play to Win – We’re competitors. We do what it takes to win. This means that we will fail, we will lose, but we want to do these things fast… because winning only comes after trial and error. Default paves the way to success. Or…  winning is on the other side of mistakes. 

Scrappy  – We’re a startup, it’s chaotic. This isn’t the government. You need to be able to learn fast, move fast and handle it. You need to be able to survive in a scrappy entrepreneur environment. This means often you need to figure it out but yet also not wander in the desert. We will be there with you, but if you want an easy job, go work at the government. 

Meritocracy – The best idea wins, not who it comes from… This means you can be direct & transparent with anyone. Test your ideas starting with analysis, form hypotheses, test small, measure results, iterate, and scale big with data. We can’t have perfect data. So when a decision is made, get on board. 

Own Yourself – We do what we say, and own what we’ve done. Mistakes happen. But the worst thing that can happen is when someone doesn’t own and learn from them. You trust us. We trust you. 

Self Actualization – This is a place for hyper learning. We want to scale. You need to scale with us, this doesn't always mean climbing some ladder, but upleveling skill – closing gaps, growing and being self actualized. 

Conscious Teamwork – No politics. No bullshit. Rather integrity, emotional intelligence, transparency and curiosity. Attack ideas, not people. 

Cheers,

👨🏻‍🦲

Patrick Stiles

CEO @ Vidalytics

PAI3 NETWORK

Data & Systems Analyst

Make AI Work in the Real World

Mission

You ensure AI systems operate on real, structured, reliable data.

You own:

Data truth → system reality

About PAI3 Network

We build decentralised AI systems that run locally on PowerNodes.

• Data stays private
• Systems operate in real environments
• AI works with real-world complexity

How We Work

You will:

• Use AI to explore data
• Map systems and data structures
• Ensure real-world correctness

You will NOT:

• Manually write queries as your primary task

Core Responsibilities

Understand Systems

• Analyse enterprise systems (CRM, ERP, etc.)
• Understand real data flows

Map Data

• Define schemas and transformations
• Identify inconsistencies and risks

Enable AI Systems

• Ensure data is usable for agents
• Support integration with real environments

What We Expect

• Strong systems thinking
• Experience with data structures and APIs
• Ability to work across industries
• High attention to detail

Why This Role Matters

If data is wrong, AI fails.

This role is critical.

PAI3 Network

AI that works in the real world.

We are seeking a Site Reliability Engineer; this is a fully remote job in the European time zone.

What You'll Be Doing

• Configuring and optimizing Nginx, php-fpm, PostgreSQL, ElasticSearch, Redis, RabbitMQ in production (daily routine)
• Monitoring system health with Prometheus, Victoria Metrics, Icinga, Opsgenie, Jira Service Management (daily routine)
• Managing cloud infrastructure: compute, storage, IAM, VPCs, load balancers
• Ensuring high availability and responding to incidents
• Participating in monthly on-call rotation (1 shift/month, 24h, with compensating days off)

Must Have

• Linux (RHEL) is required
• TCP/IP networking, firewalls, routing, load balancing
• Production experience with Nginx, php-fpm, PostgreSQL, ElasticSearch, Redis, RabbitMQ
• Monitoring stack: Prometheus, Victoria Metrics, Icinga, Opsgenie
• Cloud infrastructure management (any major cloud)
• English - Upper-Intermediate spoken (required)

Nice to Have

• Terraform, Ansible, Jenkins, GitLab CI
• Docker, Kubernetes, Helm
• Puppet DSL, PuppetDB
• ELK / OpenSearch stack

Conditions

• FOP contract
• Schedule: local business hours, Mon–Fri + 1 on-call shift/month (24h) with 2 compensating days off
• 24 vacation days/year

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Conduct extensive research, prioritize and analyze possible approaches to solving complex technical problems.
• Audit existing algorithms and improve them using LLM/ML approaches.
• Design and develop new solutions that combine LLMs with traditional algorithmic techniques.
   

Requirements:

• 5+ years of experience in AI, mathematical optimization, or a closely related field.
• Solid understanding of machine learning and deep learning concepts.
• Experience with neural networks for object classification, detection, and segmentation.
• Strong mathematical and statistical foundation (linear algebra, Euclidean geometry, probability).
• Strong expertise in algorithms and data structures (graph theory, computational geometry, mathematical optimization).
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
• Proven experience writing custom algorithms and heuristics, and integrating them with ML approaches.
• Experience deploying models in production environments.
• Hands-on experience with AWS services (S3, Lambda, Step Functions, Bedrock).
• Experience building LLM-powered pipelines with LangChain.

Nice to have:

• Experience with graph neural networks (GNNs).
• Experience extracting and processing information from PDF and SVG files.
• Experience with Django, FastAPI.
• Track record of integrating LLMs into production products.
• Published research in any domain of AI.
• Relevant AI/ML certifications.
• Participation in hackathons or Kaggle competitions.
• Master’s or PhD in Computer Science or a related field.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

We seek a Strong Middle ML / AI Engineer to join our team on a humanitarian transparency platform. This is a hands-on engineering role focused on building machine learning models and data pipelines — primarily around deduplication, anomaly detection, and statistical analysis of humanitarian data.

 

🧙‍♂️ In This Role You Will

• Design, build, and maintain ML models for deduplication, anomaly detection, and predictive analytics.
• Work with structured humanitarian data — beneficiary records, financial transactions, procurement flows.
• Build and maintain data processing pipelines using Python (Pandas, NumPy, scikit-learn).
• Collaborate with the backend team to expose ML/AI outputs via APIs.
• Monitor model performance and iterate based on real-world feedback.
• Document your work and support knowledge sharing within the team.
  
  
   

🎯 You May Be Interested If

• You enjoy working with messy, real-world data and turning it into reliable ML outputs.
• You care about model quality, reproducibility, and practical impact.
• You're comfortable applying classical ML approaches to solve concrete business problems.
• You're excited to collaborate in a remote, cross-functional environment.
• You value autonomy, clear communication, and working in a supportive, small-team setting.
  
   

👌 Role Requirements

• 3+ years of experience in ML engineering, data science, or a closely related role.
• Strong Python skills: Pandas, NumPy, scikit-learn.
• Experience building and deploying ML models in production environments.
• Solid understanding of data pipeline design and data quality practices.
• Familiarity with cloud platforms (Azure or AWS) for ML workloads.
• Proficiency with Git and standard development tooling.
• English proficiency at B1 level or higher.
   

Nice to have:

• Experience with PyTorch or TensorFlow.
• Hands-on experience with LLM integrations (OpenAI, Anthropic, or similar).
• Familiarity with ML experiment tracking tools (e.g. MLflow, Weights & Biases).
• Experience with GIS or geospatial data.
• Background in fraud detection, entity resolution, or deduplication tasks.
• Familiarity with Docker and CI/CD workflows for ML pipelines.
  
   

💻 Working Conditions

• Employment Type: Full-Time
• This is a fully remote position with the entire team across Ukraine.
• 20 working days of paid vacation per year.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• Flexible working hours to promote a healthy work-life balance.

About Us: Fractal is a dynamic and innovative AI company that is committed to delivering cutting-edge solutions to our clients. We are currently seeking a talented and experienced Power BI developer to join our growing team.

Responsibilities: 

• Lead the effort to gather requirements and design in order to develop and implement Microsoft Power BI solutions in Microsoft Azure environment applying best practices to the development lifecycle
• Lead and manage architecture solutions as well as support and development of ad hoc and long-term Microsoft BI solutions and Power BI reports
• Working with end-users to design and build dashboards and customizations to meet their requirements
• Oversee design of data models and designs required to implement performant Microsoft BI solutions and Power BI reports
• Troubleshooting and resolving issues related to performance, environments, monitoring and operability of Power BI service (dashboards/reports)
• Build and manage relationships with key stakeholders across business and IT units
• Propose and promote design and development best practices in Power BI solutions
• Work with IT team closely to perform data extraction and data transformation processes to create the data set required for the dashboard
• Scale, maintain and improve existing solutions

• Prepare holistic documentations (process and technical) to enable proper knowledge transfer of both process and solution to the production team

   

Qualifications: 

• 3+ years in Analytics/Visualizations, with a solid project portfolio
• Strong experience in Power BI, including DAX and M languages
• Strong knowledge of SQL
• Experience of defining and implementing Power BI architecture and deployment models for a range of use cases
• Hands-on working experience with Power BI to author queries, datasets, visuals & reports
• Experience of defining and configuring the security model within Power BI deployments

• Upper-intermediate English or above, both spoken and written, is a must

   

We offer:

• Best team: a multicultural team of bright specialists and friendly, helping people (data scientists, ML/AI specialists, data engineers, developers, business analysts, QA team, as well as internal support staff);
• Challenge: plenty of complex and exciting projects with Fortune 500 clients;
• Working hours: 11:00 AM—8:00 PM, Ukraine time;
• Leave: paid leave of 27 business days per year;
• Salary review once a year, annual bonus 
• Being healthy: health insurance, reimbursement for psychological counselling
• Learning and professional development: access to company learning platforms with free courses (ie Coursera corporate), external certifications and learning programs, English classes;
• No micromanagement: we encourage self-organization and trust