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Описание: |
AI-First Product Analyst
Ukraine · Remote · Full-Time
Company: Orbox.ai — AI-Native PropTech Operating System for Real Estate (Orbox aOS)
Location: Ukraine — remote, anywhere in Ukraine (candidate must be located in Ukraine). Office in Lviv opening soon (attendance optional).
Employment: Full-time, long-term
Seniority: Senior
Reports to: Chief Operating Officer
Works with: The Dubai team — CEO, Product Designer, Concept Design & Engineering team, AI agents
PropTech experience: Not essential; very good if you have direct or indirect experience
English: Advanced (B2+) — daily working language with the Dubai team
Time zone: Dubai is GMT+4, 1-2h ahead of Kyiv — near-full working-day overlap
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. Product discovery, specification, design and validation run through a tight loop in which humans operate at the level of intent, structure and judgment, and AI agents do most of the typing. Specs are not documents we forget about — they are machine-readable artifacts our coding and review agents consume directly.
What you will own & do
AI-First Way of Working
• Daily, deep, native use of AI tools for agent-assisted research synthesis, competitor teardowns, spec drafting, documentation upkeep and metric analysis.
• Treat AI tools the way an engineer treats their IDE: opinionated, tuned, integrated into every step of your workflow.
• Co-design the boundary between what you produce by hand and what is generated, transformed or validated by agents.
Product Discovery
• Run end-to-end market research and discovery to uncover what to build: turn raw intent, customer interviews, market signal and competitor analysis into clearly framed product opportunities, validated against real owner, operator and guest needs.
• Define and own the product opportunity backlog: hypotheses, problem statements, success metrics and the criteria for which problems we solve next versus park.
• Rapid concept validation: dry tests, prototype-based interviews and lightweight A/B tests — before engineering capacity is committed.
• Evidence over opinion: maintain a living research repository so any decision can be traced back to the user signal that justified it.
Product Documentation for the AI-First Delivery Machine
• Own the doc & spec layer: write validated product documentation and convert it into clear, structured, machine-readable specifications that our orchestrator and coding agents can implement, test and evolve reliably.
• Write product documentation that is unambiguous, testable and versioned — the source of truth for engineering, QA, evals and onboarding.
• Keep specifications in sync with reality: when the product changes, the spec changes first; when the spec changes, downstream agents pick it up.
• Partner with the Product Designer so specs, screens and acceptance criteria stay aligned end to end.
• Produce initial clickable PoCs to test the PRD before handing over to design.
Working with the Dubai Team
• Plug into the existing team from day one: daily discovery, planning and prioritisation with the Chief Operating Officer, the Designer and engineering in Dubai — you are part of the core team, not an outsourced resource.
• Run product work remotely without friction: clear async write-ups, recorded walkthroughs, decision logs and specs that stand on their own.
• Keep the Dubai context alive: owners, operators, regulators and market specifics are in Dubai; you bring that into every spec through research, interviews and close work with the on-site team.
Validation, Metrics & Product Quality
• Define product success metrics, leading indicators and guardrails for every shipped capability; instrument them with engineering.
• Co-own the loop between what we shipped and what users actually did with it; feed learnings back into discovery.
• Partner with engineering on UAT and AI-output evaluation — treat LLM outputs as something to be measured, not trusted.
What we are looking for
Must have
• 4+ years of relevant experience as a product analyst, business analyst or product lead, with ownership of market research, ideation, discovery and spec writing.
• 0 → 1 builder: worked directly with Heads and/or Founders and Engineering — not joining an already-scaled product org.
• Daily, deep, native use of AI tools: research synthesis, spec drafting, documentation, analysis. You have a real, opinionated workflow built around them and can defend your choices.
• Excellent product documentation skills: user stories, acceptance criteria, edge cases, data contracts, state behaviour — clear, testable, unambiguous, and structured enough that engineers (and agents) do not have to guess.
• Strong product discovery skills: you can run interviews, synthesize signals, prioritize hypotheses and design experiments that actually de-risk decisions.
• Rigorous, evidence-driven mindset: treat opinions as hypotheses, define success up front, instrument outcomes, kill what is not working.
• Comfortable with complex B2B / multi-sided product surfaces: dashboards, multi-tenant SaaS, role-based experiences, real-time data, complex back-office tooling.
• Strong written and verbal communication in English (B2+), running discovery and documentation under startup timelines while keeping quality and traceability intact.
• Remote-ready: comfortable in a distributed product team (Ukraine + Dubai), with async-friendly communication and the self-direction to own outcomes without a manager in the room.
Strong advantage (Nice to have)
• Experience defining specs or workflows for AI agents, RAG systems, prompt-driven features or agent orchestration.
• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.
• Exposure to IoT / smart-home product surfaces, payment flows, compliance or regulatory workflows.
• Experience setting up or significantly improving an AI-assisted product workflow (research → spec → validation) on a real product.
• Fluency with analytics / instrumentation tooling and comfort reading data to back decisions.
Why this role
You will help build the first AI-native operating system for real estate in Dubai and the AI-first product practice that shapes it. Both are differentiators, both are hard and both are yours to own at the senior level.
• Genuine product co-ownership — of discovery and of the spec layer that feeds our AI delivery machine. This is not a “gather requirements and write tickets” role.
• Clear growth trajectory — this role evolves into AI-First Product Manager and then Head of Product as the team scales.
• Direct access to founders and the Chief Operating Officer — short decision loops, no middle management.
• Technically ambitious product surface — AI agents, RAG, IoT, real-time systems, government and regulatory APIs and eventually tokenization infrastructure.
• AI-first by default — you will co-design how a product gets discovered, specified and validated inside an AI-first delivery machine.
• Remote-first across Ukraine, Lviv office opening soon (attendance optional), Dubai HQ (One Central Plaza) as the company base.
Conditions
• Full-time, long-term; contract format agreed individually.
• Remote, anywhere in Ukraine (must be located in Ukraine).
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