Jobs AI

About the Company

The company has been operating on Amazon US for approximately 9 years, including 4 years of developing its Wholesale business. It works with American brands, sources their products, and sells them on Amazon. The company's annual revenue is $1.5 million. The company name and brand details are confidential and will be disclosed after signing an NDA.
 

As the business expands, we are opening a new Amazon Wholesale Operations Manager position. 
The successful candidate will be responsible for scaling the Wholesale business, leading the team, and developing efficient operational processes
 

Key Responsibilities

• Scale the Wholesale business: expand the US supplier base, identify promising brands, lead negotiations, improve commercial terms, and establish consistent, profitable purchasing
• Lead the team: manage a logistics specialist, two product researchers, and two calling specialists, coordinate responsibilities, monitor performance, and improve team efficiency
• Financial analysis and purchasing management: monitor purchasing profitability and ROI, repeat orders, inventory turnover, and excess or slow-moving stock
• Strategic process development: analyze financial performance, identify growth opportunities, and implement solutions to scale the business
• Process optimization and automation: improve workflows and Google Sheets, implement AI tools, and define requirements for process automation
• Resolve complex issues: coordinate with suppliers and Amazon to address non-standard operational situations
   

Requirements

• 3+ years of hands-on Amazon US Wholesale experience with demonstrable results
• 2+ years of team management experience, including leading a small team and taking responsibility for its results
• Proven experience acquiring new suppliers, negotiating commercial terms, and developing repeat purchasing relationships
• Ability to build and optimize a supplier acquisition funnel, analyze its effectiveness, and systematically improve results
• Strong understanding of purchasing economics, including profitability, ROI, inventory turnover, cash flow, and inventory management
• Ability to make data-driven decisions and demonstrate personal contributions through measurable results
• Hands-on experience with the core tools used in Amazon US Wholesale operations, including tools for product research, supplier analysis, and purchasing profitability assessment
• Confident use of Google Sheets
• Advanced practical use of AI tools (understanding SP-API and Amazon integration capabilities, working with AI agents, and process automation)
• Conversational English at B1+ level, сonversational Russian/Ukrainian
• Readiness to work in an international team
• Strong organizational skills, analytical thinking, independence, initiative, accountability, and the ability to prioritize effectively
   

Experience with the Private Label (PL) business model is a plus, but Amazon Wholesale experience is the priority
 

What We Offer

• Compensation: 1,500–3,000, depending on the interview results
• KPIs: performance metrics and bonus arrangements will be discussed separately
• Work format: fully remote
• Employment: full-time, with no parallel professional commitments
• Schedule: Monday to Friday, an 8-hour working day starting at 1:00 PM Kyiv time
• Probation period: 2 months
• Payment methods: Payoneer, Wise, bank transfer, or cryptocurrency
• Work tools: access to the necessary services and paid specialized software
• Growth opportunities: the opportunity to influence the expansion of the Wholesale business, improve operational processes, and contribute to strategic business development
• Reporting Line:The position reports directly to the company founder, with direct involvement in decisions related to Wholesale development, purchasing efficiency, and business scaling
   

How to Apply

If you have hands-on Amazon US Wholesale experience, know how to acquire suppliers, lead a team, and identify growth opportunities through financial analysis, we would be happy to hear from you

Project / Account Manager (UK SaaS product)

Remote · Full-time · UK timezone

About the Product

A UK B2B SaaS platform that helps travel agencies and tour operators automate regulatory compliance (ATOL/CAA). The platform handles certificate issuance, licence limit tracking, regulatory return preparation, and API integrations with clients' booking systems. It is fully live with paying customers in a defined UK market of ~1,700 licence holders.

You will:

• Support the full sales & client cycle: Connect with UK travel directors before demos, follow up after calls, answer questions, send subscriber agreements, and ensure they are signed.
• Lead onboarding & operations: Set up new company accounts, guide users through their first steps, answer how-to questions, pass bugs to developers with clear steps to reproduce, and maintain clean CRM records.
• Coordinate customer migration: Agree on switch dates for legacy clients, collaborate with our Ukrainian dev team, and verify data accuracy.
• Drive growth & outreach: Conduct active outbound (вихідний) email and LinkedIn outreach to TIC clients, non-client ATOL holders, and travel consortiums.

• Build content & pipeline: Write engaging LinkedIn posts on ATOL compliance topics, research prospect lists, prepare sales materials, and follow up with leads from industry events.

   

Must Have

• Figure things out alone: High resourcefulness. When stuck, you explore documentation, the product admin panel, or AI tools before asking targeted questions.
• Accuracy & attention to detail: You check facts thoroughly before communicating with clients or publishing content - precision matters in regulated markets.
• Entrepreneurial & growth mindset: Comfortable with proactive cold outreach, LinkedIn prospecting, and taking ownership of finding new customers.
• Technical aptitude: Clear understanding of web concepts (e.g., what an API is), comfortable working in admin panels, and able to describe bugs clearly to developers.
• Strong English (written and spoken): Ability to write concise, professional emails and speak fluently on calls with UK company directors (understanding British accents at normal speed).
• Highly organised: Ability to manage multiple concurrent tasks, tracking precise next steps and deadlines.
• Aligned with UK business hours: Working schedule aligned with London business day.

Nice to Have

• Experience as an Account Manager, Project/Delivery Manager, or Client Success Specialist in B2B SaaS.
• Hands-on experience with LinkedIn outreach, email campaigns, or B2B sales support.
• Experience working with UK clients or within TravelTech / RegTech / FinTech / regulated industries.

• Familiarity with tools like Jira, CRM systems, and AI workflows (ChatGPT, Claude, etc.).

   

What We Offer:

• Direct ramp-up & onboarding: Your first weeks are dedicated to learning ATOL rules, mastering the product, and sitting in on calls with leadership.
• High autonomy & zero bureaucracy: Direct collaboration with company leadership with real ownership over growth and operations.
• Clear career evolution: Opportunity to mature into fully leading demos, onboarding, and growth initiatives for the product.
• Flexible remote work schedule aligned with UK business hours.

Ready to take ownership, figure things out, and grow with us? Send your CV and a short note about yourself - we’d love to hear from you!

AI-First Senior QA Engineer (Manual)

Ukraine · Remote · Full-Time

Company: Orbox.ai - AI-Native PropTech Operating System for Real Estate

Location: Ukraine - remote, anywhere in Ukraine (candidate must be located in Ukraine)

Employment: Full-time, permanent

Seniority: Senior

Reports to: Technical Lead

Works with: Product Analyst, Product Designer, Engineering team, Fleet of Agents

PropTech experience: Not essential; very good if you have direct or indirect experience

English: Advanced (B2+)

About

We are building an AI-native operating system for real estate. The product is a PropTech platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from a RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first delivery organization. The way we discover, define and ship is as differentiated as what we ship. Specs, stories and designs are machine-readable artifacts our coding and review agents consume directly — and quality is verified by a human who knows exactly where agents fail, where specs lie and where the product breaks in real hands.

The role

This is the role that decides whether what we ship actually works  for humans and for the agents that built it.

You will report directly to the Chief Operating Officer, with short decision loops to founders and direct access to engineering.

This is a hands-on, manual-first QA role at the core of the delivery machine. Most of our code is written by AI agents against machine-readable specs. That makes human quality judgment more valuable, not less: agents pass their own checks and still ship broken flows, wrong edge-case behaviour and UX that technically matches the spec but fails the user. You are the last honest reader of the product before it reaches staging review and then customers on prod.

You will own manual testing end to end: exploratory testing, spec-based test design, UAT coordination, regression passes and release sign-off. You will test not just deterministic UI flows, but AI-driven behaviour  agent responses, RAG answers, document generation  where “expected result” is a judgment call, not an assert.

You will work side by side with the AI-First Product Analyst (who writes the specs you test against) and engineering (whose agents implement them). You will use our shared Claude Team / Cowork with premium seating along with the company's AI tools daily, deeply and natively — not as a novelty, but as the default way you work.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which QA tasks AI does well today (test-case generation, coverage analysis, log triage), which it does not (exploratory judgment, UX intuition, risk feel) — and how to combine both deliberately.

What you will own & do

AI-First Way of Working

• Daily, deep, native use of AI tools for test-case generation from specs, coverage gap analysis, bug report drafting, log and session triage, regression checklist upkeep.

• Treat AI tools the way an engineer treats their IDE: opinionated, tuned, integrated into every step of your workflow.

• Contribute to internal evals from the QA side: define what “good” looks like for AI-generated code, AI-generated test artifacts and our user-facing AI features.

Manual Testing & Test Design

• Own manual testing end to end: exploratory sessions, spec & story-based test design, edge cases, negative paths, cross-role and multi-tenant scenarios.

• Convert machine-readable specs & stories with acceptance criteria into structured, traceable test cases and checklists — every requirement maps to a verification.

• Run deep exploratory testing where scripted coverage ends: real-world flows, messy data, weird devices, impatient users.

• Verify complex B2B2C surfaces: dashboards, role-based access, real-time data, payment flows, document generation, back-office tooling.

Testing AI-Driven Behaviour

• Test the non-deterministic layer: agent conversations, autonomously generated compliance documents — correctness, groundedness, tone, failure modes.

• Design and run structured evaluation of LLM outputs with the Analyst and engineering: treat AI output as something to be measured, not trusted.

• Hunt for hallucinations, prompt-injection surfaces, permission leaks across tenants and roles, and silent agent failures.

Quality Process & Release Ownership

• Own release readiness: regression scope, smoke passes, UAT coordination with stakeholders, GO/NO-GO input for every release.

• Write bug reports engineers (and agents) can act on without a follow-up question: environment, steps, expected vs actual, evidence, severity.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec/story layer, not patched in QA.

• Build the QA practice from scratch: process, tooling, test data, defect workflow in Jira — lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

 4+ years of hands-on manual QA experience on web products, with senior-level ownership of quality for a product or major product area.

• 0 → 1 builder: comfortable being the first and only QA, setting up the practice yourself, working directly with founders and engineering — not joining an already-scaled QA org.

• Experience testing LLM-based features, chatbots, RAG systems or agent workflows — including designing evals or output rubrics.

• Daily, deep, native use of AI tools in your QA workflow: test generation, triage, analysis, documentation. You have a real, opinionated workflow built around them and can defend your choices.

• Excellent test design craft: from acceptance criteria to test cases, edge cases, negative scenarios and risk-based prioritization — structured, traceable, unambiguous.

• Strong exploratory testing instincts: you find the bugs no script would — and can explain how you found them.

• Sharp written bug reporting and strong verbal communication in English (C1+), under startup timelines, without losing rigor.

• Comfortable with complex B2B / multi-sided product surfaces: multi-tenant SaaS, role-based access, real-time data, payments, back-office tooling.

 Working knowledge of APIs and databases for verification: reading API responses (Postman or similar), basic SQL to check data behind the UI, reading logs.

Strong advantage (Nice to have)

• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.

• Exposure to payment flows, compliance / regulatory workflows or document-generation systems.

• Test automation literacy (Playwright, Cypress or similar) — enough to direct agents that write automation, even if you don't write it daily.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define what quality means when AI agents write most of the code. Both are differentiators, both are hard and both are yours to own at the senior level.

• Genuine quality ownership — you build the QA practice from zero and hold the release bar. This is not a “execute someone else's test cases” role.

• Clear growth trajectory — this role evolves into AI-First QA Lead / Head of Quality as the team scales.

• Direct access to founders and the Chief Operating Officer — short decision loops, no middle management.

• Technically ambitious product surface  AI-native, Agentic system, RAG, IoT, real-time systems, government and regulatory APIs and eventually tokenization infrastructure.

 AI-first by default — you will co-design how quality assurance works inside an AI-first delivery machine.

AI-First Senior Software Engineer

Ukraine · Remote · Full-Time

Company: Orbox.ai - AI-Native PropTech Operating System for Real Estate

Location: Ukraine - remote, anywhere in Ukraine (candidate must be located in Ukraine)

Employment: Full-time, permanent

Seniority: Senior

Reports to: Technical Lead

Works with: AI-Engineer, Product Analyst, UI/UX Designer, QA Engineer

PropTech experience: Not essential, very good if has direct or indirect experience

English: Advanced (B2-C1)

About

We are building an AI-native operating system for real estate. The product is a PropTech platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from a RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first delivery organization. The way we discover, define and ship is as differentiated as what we ship. Specs, stories and designs are machine-readable artifacts our coding and review agents consume directly - and senior engineers are the ones who design the system, direct the agents and own every line that reaches production.

The role

This is the role that turns machine-readable specs into production software - by leading AI agents, not by typing every line yourself.

You will report directly to the Chief Operating Officer, with short decision loops to founders and direct access to product, design and QA.

This is a hands-on senior engineering role at the core of the delivery machine. Most of our code is written by AI coding agents against machine-readable specs. That makes senior engineering judgment more valuable, not less: agents write fast, but still pick wrong abstractions, miss edge cases, leak data across tenants and ship code that passes its own tests and breaks in production. You are the engineer who designs the system, sets the guardrails and owns what gets merged.

You will build and ship features end to end across backend, frontend and integrations: service design, data models, APIs, UI, government and third-party integrations, AI features (LLM agents, RAG, document generation) and the infrastructure they run on.

You will work side by side with the AI-First Product Analyst (who writes the specs), Product Designers (who own the mockups) and QA (who holds the release bar). You will use our shared Claude Team / Claude Code with premium seating along with the company's AI tools daily, deeply and natively - not as a novelty, but as the default way you work.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today (boilerplate, refactors, tests, migrations, docs), which it does not (architecture, security boundaries, trade-off calls, debugging subtle production issues) - and how to combine both deliberately.

What you will own & do

AI-First Engineering

• Daily, deep, native use of AI coding agents for implementation from specs, refactoring, test writing, code review, debugging and documentation.

• Treat agents like a team you lead: clear specs in, reviewed code out - you own the context, rules files, guardrails and the review bar.

• Build and improve our agentic delivery pipeline: repo conventions, agent instructions, MCP tooling and CI checks that keep agent output safe to merge.

• Contribute to internal evals from the engineering side: define what “good” looks like for AI-generated code and for our user-facing AI features.

Product Engineering

• Own features end to end: from spec & acceptance criteria to design, implementation, tests, deployment and monitoring on prod.

• Design clean service boundaries, data models and APIs for a multi-tenant B2B2C platform with role-based access.

• Build complex frontend surfaces: dashboards, real-time data, multi-step workflows, back-office tooling.

• Integrate with government and regulatory APIs, payment providers and third-party systems - reliably, idempotently, with proper error handling and audit trails.

AI & LLM Systems

• Build production AI features: LLM agents, tool calling, RAG pipelines, compliance document generation - with grounding, fallbacks and cost control.

• Engineer the non-deterministic layer: prompt versioning, structured outputs, guardrails against hallucinations and prompt injection, tenant-safe retrieval.

• Instrument AI behaviour with tracing, logging and metrics - treat AI output as something to be measured, not trusted.

Engineering Quality & Ownership

• Own the merge bar: review agent and human PRs, enforce architecture, security and performance standards.

• Write automated tests and CI that make agent output safe to ship; partner with QA on test strategy and release readiness.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec layer, not hacked around in code.

• Shape the engineering practice at an early stage: conventions, environments, observability, incident handling - lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

• 4+ years of hands-on software engineering on production web products, with senior-level ownership of a system or major product area.

• Strong full-stack skills: modern backend (TypeScript / Node.js or Python), modern frontend (React / Next.js or similar) and relational databases (PostgreSQL or similar).

• Daily, deep, native use of AI coding tools (Claude Code, Cursor or similar) in your engineering workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Hands-on experience building LLM-based features: agents, tool calling, RAG, structured outputs - shipped to production, not just demos.

• Solid system design: multi-tenant SaaS, role-based access, API design, async processing, third-party integrations.

• Critical code review skills: you read AI-generated code with suspicion and catch what agents miss - security holes, data leaks, wrong abstractions, hidden complexity.

• Cloud & DevOps fluency: Docker, CI/CD, at least one major cloud (AWS / GCP / Azure), logging and monitoring.

• 0 → 1 mindset: comfortable in an early-stage team, working directly with founders and product, shipping fast without losing rigor.

• Strong written and verbal communication in English - including specs, PR descriptions and technical discussions.

Strong advantage (Nice to have)

• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.

• Exposure to payment flows, compliance / regulatory workflows, document-generation systems or government API integrations.

 Experience with LLM evals and observability (Langfuse, LangSmith or similar) and vector databases.

• Real-time systems, IoT or tokenization / blockchain infrastructure.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define how software gets built when AI agents write most of the code.

• Genuine engineering ownership.

• Clear growth trajectory - Tech Lead / Engineering Lead.

• Direct access to founders and the Chief Operating Officer.

• Technically ambitious product surface - AI-native, Agentic system, RAG, IoT, real-time systems, government APIs, tokenization.

• AI-first by default.

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Product & Growth Manager (UK SaaS product)

Remote · Full-time · UK timezone

About the Product:

A UK B2B SaaS platform that helps travel agencies and tour operators automate regulatory compliance (ATOL/CAA). The platform handles certificate issuance, licence limit tracking, regulatory return preparation, and API integrations with clients' booking systems. It is fully live with paying customers in a defined UK market of ~1,700 licence holders.

You will:

Drive growth & outreach: Conduct active outbound email and LinkedIn outreach to TIC clients, non-client ATOL holders, and travel consortiums.

Build content & pipeline: Write engaging LinkedIn posts on ATOL compliance topics, research prospect lists, prepare sales materials, and follow up with leads from industry events.

Support the full sales & client cycle: Connect with UK travel directors before demos, follow up after calls, answer questions, send subscriber agreements, and ensure they are signed.

Lead onboarding & operations: Set up new company accounts, guide users through their first steps, answer how-to questions, pass bugs to developers with clear steps to reproduce, and maintain clean CRM records.

Coordinate customer migration: Agree on switch dates for legacy clients, collaborate with our Ukrainian dev team, and verify data accuracy.

Must Have:

Figure things out alone: High resourcefulness. When stuck, you explore documentation, the product admin panel, or AI tools before asking targeted questions.

Entrepreneurial & growth mindset: Comfortable with proactive cold outreach, LinkedIn prospecting, and taking ownership of finding new customers.

Accuracy & attention to detail: You check facts thoroughly before communicating with clients or publishing content—precision matters in regulated markets.

Technical aptitude: Clear understanding of web concepts (e.g., what an API is), comfortable working in admin panels, and able to describe bugs clearly to developers.

Strong English (written and spoken): Ability to write concise, professional emails and speak fluently on calls with UK company directors (understanding British accents at normal speed).

Highly organised: Ability to manage multiple concurrent tasks, tracking precise next steps and deadlines.

Aligned with UK business hours: Working schedule aligned with London business day.

Nice to Have

Hands-on experience with LinkedIn outreach, email campaigns, or B2B sales support.

Experience as an early hire in a B2B SaaS startup, Project/Delivery Manager, or Account Manager.

Experience working with UK clients or within TravelTech / RegTech / FinTech / regulated industries.

Familiarity with tools like Jira, CRM systems, and AI workflows (ChatGPT, Claude, etc.).

What We Offer:

Direct ramp-up & onboarding: Your first weeks are dedicated to learning ATOL rules, mastering the product, and sitting in on calls with leadership.

High autonomy & zero bureaucracy: Direct collaboration with company leadership with real ownership over growth and operations.

Clear career evolution: Opportunity to mature into fully leading demos, onboarding, and growth initiatives for the product.

Flexible remote work schedule aligned with UK business hours.

Ready to take ownership and grow with us? Send your CV and a short note about yourself - we’d love to hear from you!

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

We are looking for someone who:

🔹Uses advanced AI coding tools and agents as an integral part of the software development lifecycle.
🔹Knows how to use AI effectively for coding, debugging, testing, code exploration, refactoring, documentation, and technical research.
🔹Can design effective workflows around AI rather than relying on simple prompting.
🔹Can identify engineering tasks and processes that can be automated or significantly accelerated with AI.
🔹Understands both the capabilities and limitations of AI-generated code and applies strong engineering judgment when reviewing and deploying it.
🔹Bonus: has built internal AI tools, agents, automation workflows, or AI-powered product capabilities.
 

Key Requirements:

🔹 5+ years of professional software development experience, primarily in backend development;
🔹 Strong experience designing and building production-grade services and APIs;
🔹 Strong software engineering fundamentals, including system design, data structures, clean code, and scalable architecture;
🔹 Strong experience working with C# / .NET ;
🔹 Strong experience with SQL and relational databases, preferably MySQL;
🔹 Experience working with AWS or other cloud platforms;
🔹 Experience with distributed systems, high-scale environments, and production troubleshooting;
🔹 Experience integrating with complex external APIs and third-party platforms;
🔹 Strong ownership mindset — comfortable taking a problem from initial definition through production;
🔹 Strong communication and collaboration skills;
🔹 Ability to independently explore unfamiliar domains and technologies and quickly turn them into working solutions;
🔹 English – Upper-Intermediate or higher.

What you will do:

🔹Design, develop, and own scalable backend services and APIs supporting our social advertising capabilities;
🔹 Build and maintain integrations with leading social platforms such as Meta, TikTok, YouTube, and other advertising ecosystems;
🔹 Take end-to-end ownership of features — from technical design and implementation through production rollout, monitoring, and optimization;
🔹 Work with complex third-party APIs, authentication flows, data models, platform limitations, and constantly evolving external integrations;
🔹 Build reliable, high-scale distributed services operating in a cloud production environment;
🔹 Develop a deep understanding of the product and business use cases, and contribute to product and technical decisions — not only implementation;
🔹 Identify opportunities to simplify systems, automate processes, and improve engineering velocity;


Interview stages:
🔹 HR Interview YozmaTech;
🔹 Technical Interview;
🔹 Live Coding Session;
🔹 Interview with CTO;
🔹 HR Interview;
🔹 Reference Check;
🔹 Offer.

 

We are a sports and entertainment representation database. Companies use it to find out who represents athletes and talent. We’re a small, data-heavy team, and our research team keeps hundreds of thousands of records current.

Our goal is to map the entertainment and sports industries: who represents whom, and how that changes over time. Our data is only valuable if it’s accurate, so accuracy comes before speed in everything we build.


*English needs to be good enough to have video meetings

The role
You’ll own two areas of work:

1. Our internal Python apps. These include Django apps that power member-facing data on our WordPress site, such as a festival lineup database and sports agency market share data, plus a Flask research tool our team uses daily for roster processing and verification. You’ll maintain, fix, extend and deploy them.

2. AI automations that save our research team time. For example, given a list of names, automatically find each person’s official social media accounts, the languages they speak, and other basic public information. Results come back with confidence scores, and a person reviews them before anything is saved.

    

Who thrives here
We’re a small company moving fast, and this role is for someone who wants that. You’ll be the developer on the team, not one of many, so what you build, fix or improve has a direct, visible impact.
 

• Strong work ethic. You take ownership of your work and see it through. When something breaks or a deadline is close, you stay with it until it’s done. Comfortable with working weekends if thats what it takes.
• Comfortable with pace and change. Priorities can shift week to week, sometimes because of a launch, a news cycle or a sports season. You adapt quickly without needing every detail planned in advance.
• Self-directed. No one will hand you a perfect spec every time. You ask the right questions, make sensible decisions, and keep work moving.
• Flexibility when it counts. Some deadlines, like a season launch or a major report, need extra hours, sometimes outside your usual schedule or on weekends. We need someone who’s willing to step up at those times.
   

How we work
We want a developer who thinks like an owner, not someone who waits to be assigned tickets. That means:
 

• Contributing to the product. Give input on our goals and suggest better ways to reach them. If you see a technical way to map the industry faster or more accurately, bring it to us.
• Taking initiative. Look for ways to move the project forward on your own: automating manual work, improving our tools, and fixing problems before they become ours.
• Treating accuracy as essential. Our team verifies large volumes of data every day. Help us build processes and tools that keep data accurate at scale, with checks and safeguards rather than shortcuts.
• Using AI with judgment. We use AI tools heavily and expect you to as well. Because AI writes much of the code, your judgment is the job: review everything before it ships, catch security and data problems, ask questions when a request is unclear, and push back when something won’t work. We are not looking for someone who passes our requests to an AI and ships what comes back.
   

Requirements

• 3+ years of Python, including Django in production
• Comfortable working in Flask
• Has built real features on LLM APIs (OpenAI, Anthropic or similar), such as structured output, tool use or web search
• Experience building REST APIs and connecting systems to each other
• Solid with PostgreSQL or MySQL, including schema design and migrations
• Deploys and maintains apps on Linux servers (we use DigitalOcean)
• Works through Git, pull requests and code review
• Strong written and spoken English. You’ll work directly with a non-technical founder on regular calls.
• At least 4 hours of overlap with US Eastern time
   

Nice to have

• PHP or Symfony experience (our legacy data comes from a Symfony app)
• WordPress integration experience
• Data matching or deduplication work, like deciding whether two records are the same person
• HubSpot API experience
• Security experience with internal tools and private APIs

We are partnering with an AI-focused technology company that builds intelligent automation solutions for businesses, including AI-powered workflows and agent-based systems. The team works on practical AI applications designed to streamline complex processes and improve operational efficiency.

About the role

We are looking for a Middle-level Engineer to join a team developing AI-powered solutions and automation workflows for healthcare-related products. You will work under the guidance of the existing technical team, contributing to implementation, integrations, and product development.

Requirements

• 2+ years of relevant software development experience.
• Hands-on experience working on healthcare or HealthTech projects.
• Knowledge of HIPAA and SOC 2 requirements, with experience handling sensitive personal and healthcare data.
• Familiarity with LangChain or comparable AI development frameworks and platforms.
• Experience with one or more of the following technologies: Python, TypeScript, Java, React.
• Understanding of AI integrations, automation workflows, or LLM-powered applications.
• For Front-End Engineers: experience building enterprise dashboards and a solid understanding of UI/UX principles.
• Ability to work collaboratively and deliver production-ready code.
• Upper-Intermediate English or higher.
• Availability to overlap with US business hours for team syncs and meetings.

Nice to have

• Experience with agentic workflows, AI agents, or multi-step automation.
• Familiarity with voice AI solutions, LLM performance optimization, or token optimization.
• Experience implementing security, privacy, or compliance-related features in healthcare applications.

Work setup and availability

• 100% remote.
• Full-time engagement.
• Expected start date: early November 2026.
• Regular overlap with US business hours for team syncs and meetings.
• Opportunity to work on practical AI-driven products alongside an experienced technical team.

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Dataforest are looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background (10+ years in the domain). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8–10+ members.
 

 What you’ll do:

• Team Leadership & Management: Lead and grow the Data Science department (8–10+ people), perform 1-on-1s, technical assessments, and performance reviews.
• Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
• Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
• R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.
   

 You'll be a great fit if you have:

• 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
• Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
• AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph, and AI Agents.
• Core Tech Stack:
  • Mastery of Python, algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
• English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

Project details

We are looking for a Senior Full-Stack Engineer to join the team behind an AI-powered autonomous testing platform, built by a global leader in AI-powered test automation whose products are trusted by enterprises and startups worldwide, including many of the world’s largest companies.

This role involves end-to-end feature development across a TypeScript stack, from the Node.js backend to the React frontend, with an AI-first approach at every step of the development workflow. You’ll own features from technical design to production, work closely with Product and Design, and collaborate daily with the client’s engineering group as an integrated member of a hybrid team.

About the product.
The team builds an AI-powered platform that lets teams create, run, and maintain end-to-end tests with minimal manual effort. Instead of writing test code, users simply provide a URL: the platform crawls the application, automatically generates visual and functional tests, and organizes the results in a centralized dashboard.

Key responsibilities

• Design, build, and ship product features end to end across the TypeScript stack (Node.js and React).
• Own features from technical design through development, testing, release, and production monitoring.
• Think like a product owner: dig into the “why” behind features, balance user needs with technical tradeoffs, and take real ownership of the product experience.
• Work closely with Product, Design, and your teammates in Israel to turn requirements into clean, well-architected solutions.
• Contribute to architecture discussions, code reviews, and engineering best practices.
• Use Claude and agentic workflows as part of your everyday development process to move faster, and help build shared AI automations for the team.

Requirements

• 5+ years of hands-on software engineering experience in SaaS or product-driven companies, delivering features as a full-stack engineer on cross-functional product teams.
• 3+ years of production experience across the full stack with TypeScript, Node.js, and React.
• Hands-on experience using AI-assisted development tools in your daily workflow to accelerate development.
• Exceptional collaboration and communication skills, with a track record of partnering closely with product managers, designers, and fellow engineers.
• Proven success working in distributed or hybrid teams, collaborating daily across time zones (ideally with international engineering groups).
• Fluent written and spoken English, with the ability to explain complex technical ideas and tradeoffs clearly and confidently.
• A strong sense of ownership, self-direction, and an open, egoless communication style.
• Based in Warsaw and able to work from the office 3 days per week.

Will be a plus:

• Familiarity with test automation tools and frameworks (Playwright, Cypress, Selenium).

About Eastern Peak

We are a technology provider of custom hardware and software development solutions and digital transformation consulting services.

We help our clients adapt and evolve in the face of disruptive new technologies, dynamic global markets and rapidly changing regulatory environments. We do it by modernizing their legacy systems, automating business processes and creating the technological foundation to withstand and embrace continuous change.

We develop and deploy unique data analytics capabilities across their infrastructure and introduce competitive advantages by utilizing the advances in technology such as IoT, AI, Cloud, Big Data, AR/VR and others.

B2B AI SaaS Sales Representative — Sembly AI

Sembly AI helps professional teams turn meetings into actionable insights, automated workflows, and client-ready deliverables. We bring meeting intelligence and AI-powered productivity into the tools and processes businesses use every day.
 

We’re looking for an engaging, technically proficient sales professional who builds strong customer relationships and turns opportunities into revenue. You’ll own the sales cycle—from generating leads and running discovery to delivering demos, navigating requirements, and closing deals.
 

What you’ll do

• Build and close pipeline. Develop your own leads through targeted outreach, networking, and prospect research, while converting inbound interest into qualified opportunities.
• Lead consultative sales conversations. Understand customers’ workflows, pain points, and buying criteria. Deliver tailored demos that connect Sembly’s capabilities to measurable business value.
• Build lasting relationships. Establish trust with champions, decision-makers, and technical stakeholders through thoughtful conversations and consistent follow-through.
• Handle objections and sharpen competitive positioning. Address concerns around value, pricing, adoption, security, and alternatives. Create and maintain practical battle cards based on competitor research and real sales conversations.
• Navigate technical and compliance requirements. Identify integration needs involving APIs, MCP (Model Context Protocol), and webhooks. Coordinate SOC 2 documentation, security reviews, and technical discussions with the appropriate internal teams.
• Use AI to improve sales execution. Apply AI agents, research tools, and automation to prospecting, account preparation, personalized outreach, follow-ups, and CRM maintenance.
• Keep the CRM accurate and actionable. Maintain opportunity stages, next steps, stakeholder information, and reliable forecasts.
• Work closely with Marketing and Customer Success. Share buyer insights, refine messaging and campaigns, and ensure smooth handoffs with clear customer goals and expectations.
   

What you bring

• 3+ years of B2B SaaS sales experience, with demonstrated success closing deals and achieving revenue targets.
• A warm, engaging communication style, strong listening skills, and the ability to build rapport and credibility quickly.
• Strong discovery, presentation, negotiation, and objection-handling skills.
• Technical fluency: you learn software quickly, demonstrate it confidently, and explain technical concepts clearly to business audiences.
• Practical experience using AI tools and agents to support your sales process.
• Familiarity with enterprise buying processes, SOC 2 security reviews, and integration requirements involving APIs, MCP, and webhooks.
• Experience managing pipeline and reporting in a CRM; Attio experience is a plus.
• Confidence generating your own leads and independently moving opportunities forward.
• Excellent spoken and written English and the ability to collaborate across international teams.
   

What success looks like

A healthy pipeline that includes self-generated opportunities, consistent revenue delivery, accurate forecasts, and customers who enter onboarding with clear expectations. Your insights also help Marketing improve messaging and Customer Success support adoption.
 

Why Join Sembly? 

• Exciting Product: We are pioneers in a new AI-enabled product category.
• Product-Market Fit: We have thousands of users. The product works. We need you to pour fuel on the fire.
• Work Culture: We have a high-energy, high-performance, and fun working environment that you'll enjoy being a part of.

About us. Web Scribble builds career center and job board software for professional
associations and universities. 20 years, 350+ career centers, US market.

The job. Own paid acquisition end to end: Google Search, Meta, LinkedIn. The main goal is
demo requests from associations, colleges, and employers.  Our ads underperform there today and you take them over.

Why this is not a normal PPC job

• Three platforms means constant testing, and Meta and LinkedIn also need a stream of
  creatives. That is agency-level work for one person. It is only possible if you work with
  AI heavily: Claude Code every day, agents that pull the data, build the reports, draft and
  iterate the creatives. 
   
• Tracking is technical. The algorithms are only as good as the data you send back: custom
  conversion events with properties, server-side where needed, and a "sales qualified" signal
  returned to Google, Meta and LinkedIn days after the click. "Add the pixel in GTM and hope"
  does not work here.
   
• Analytics is PostHog, not GA4. You trace ad click → form → qualified lead yourself.
   
• There is no obvious keyword niche. You find what works by iterating fast - many small
  tests, not a quarterly plan.

You

• 3+ years running B2B paid campaigns with your own hands: Google Ads plus Meta or LinkedIn.
• You work in Claude Code daily. 
• Pixels, conversion APIs, GTM, UTMs, offline conversion imports — set up and debugged by you.
• English good enough to write ads for US executives.
   

Terms

Remote. Full-time contract. Overlap with US Eastern working hours. Competitive pay.

How we hire

1. Apply 
2. Test task — about one hour: a tracking audit of our public site, with a 3-minute screen
   recording of you running your work in Claude Code.
3. One call with the team, then an offer.