AI-First Product Analyst

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).