1. To help you truly understand how our recruiter system works, we have selected real conversations from users using our AI recruiter on LinkedIn.
2. These examples show how our AI recruiter handles different scenarios.
3. All data has been strictly anonymized to protect personal information.

AI Recruiter Capabilities

What our AI Recruiter does in every conversation

7×24 Instant Reply
No timezone limits, responds within seconds anytime
Multi-language
Auto-detects language, supports 50+ languages
Intent Screening
Intelligently assesses candidate interest & willingness
Answer Questions
Answers role, salary, benefits inquiries automatically
Auto Follow-up
Proactive multi-round follow-up, zero manual effort
Schedule Interviews
Coordinates time slots & sends interview invitations
Get Contact Info
Naturally collects phone, email during conversation
Tud**lpe

Tud**lpe

Company:Flo**anyPosition:Chief Executive OfficerLocation:Cluj-Napoca, Cluj,Romania
Conversation Record
Hello T***, I’m J***, an HR recruiter at StrategyBrain partnering with I***e S***s. I was really impressed by your leadership as CEO of F***s D***s and your work co-founding S***b. We’re currently looking for a Chief Product & Technology Officer to shape the roadmap and technical architecture for our web and mobile offerings. Would you be open to a brief chat to explore this opportunity?
Tud**lpe
Hi J***, thanks for reaching out and for the kind words. The CPO & CTO role at I***e sounds intriguing,could you share a bit more about the team structure and roadmap before we set up a quick chat?
Hi T***, Glad the role piqued your interest. At I***e you’d lead our cross-functional product & technology function,oversight of our developer, design and project-management squads, partnership with executive stakeholders and investors, and end-to-end ownership of our web and mobile education platform roadmap (from feature innovation to scalability and UX). Before we dive deeper into specifics, I’d love to understand what challenges or frustrations you’re encountering in your current leadership role,whether around growth bottlenecks, skill development, team dynamics or anything else. That’ll help me highlight exactly how this opportunity could address your priorities.
Tud**lpe
To be honest, my biggest challenge right now is balancing rapid client-driven feature requests with keeping our architecture clean,our small team often juggles shifting priorities, which leads to technical debt and slower growth. I’m also keen to bolster our product and UX expertise (my background is mostly dev/architecture), and find stronger cross-functional processes to streamline decision-making.
Hi T***, Thanks for sharing those pain points,balancing client-driven requests with a clean architecture and stronger UX/product processes is exactly what we’re looking to tackle at I***e S***s. As our Chief Product & Technology Officer, you would: 1. Define and drive a unified product roadmap that balances rapid feature delivery with long-term architectural health. 2. Establish best-practice Agile and DevOps workflows to minimize technical debt and streamline decision-making across development, design, and project teams. 3. Mentor and grow our cross-functional squads,giving you the chance to bolster UX expertise and put in place scalable processes that empower designers, PMs, and engineers. 4. Collaborate directly with executive stakeholders and our investor network to identify new education-tech opportunities and ensure our platform evolves in line with market needs. 5. Leverage performance metrics, user feedback, and industry trends to continuously iterate on features and drive a top-tier user experience. I***e S***s is a fast-growing, venture-backed company based in Cluj-Napoca, with a strong passion for educational technology. You’ll join the executive team, have full ownership of both product and technical strategy, and benefit from hands-on resources,a dedicated UX lead, budget for user research, and ongoing professional development (including equity upside). Does this align with what you’re looking for? I’d be happy to dive deeper into any aspect or set up a time for a more detailed conversation.
Tud**lpe
This sounds right up my alley,especially the focus on balancing rapid delivery with architectural health. Could you share how large the product, design and engineering squads currently are and who I’d report into? Also, I’m curious about your core tech stack and the top roadmap priorities you’d like me to tackle first.
Hi T***, Great questions,here’s a high-level snapshot: 1. Team size & reporting - Product: two dedicated Product Managers plus a Product Ops coordinator - Design: one full-time UX/UI Lead (with a contract UI designer on call) - Engineering: roughly ten full-stack, back-end and mobile engineers, backed by two QA specialists You’d report directly into our CEO and sit on the executive leadership team alongside Finance, Marketing and Sales. 2. Core tech stack - Front-end: React.js (with TypeScript) on Next.js - Back-end: Node.js/Express microservices, PostgreSQL for primary data storage - Mobile: React Native for iOS & Android parity - Infrastructure: AWS (EKS), Docker/Kubernetes for containerization, GitLab CI/CD pipelines - Monitoring: Prometheus/Grafana, Sentry for error tracking 3. Top 90-day roadmap priorities a. Architecture health & CI/CD , Conduct an architecture audit to identify key refactoring areas , Implement a streamlined CI/CD pipeline and automated testing suite b. UX/product process , Launch a shared design system to improve consistency and speed up feature delivery , Establish cross-functional Agile rituals (roadmap reviews, sprint demos, etc.) c. Feature focus , Roll out our next major mobile module (student collaboration tool) , Introduce enhanced analytics dashboards based on recent user feedback Does this resonate with what you had in mind? If so, I’d be happy to dive deeper on any of these points or block 30 minutes for a more detailed conversation.
Tud**lpe
This aligns nicely,could you share how mature your CI/CD and automated testing setups are today (e.g. coverage, deploy frequency)? Also, how do you feed product analytics and user feedback into sprint planning, and what autonomy would I have over tech investments and team scaling?
Hi T***, Great questions,here’s a closer look: 1. CI/CD & automated testing maturity - Our GitLab pipelines run on every merge request, with automated unit and integration tests covering roughly 70,80% of our core services. We’ve also introduced end-to-end smoke tests against staging. - Deploy frequency: we push to staging several times a day and deploy to production via a nightly rollout with automated health checks (canary releases and rollback hooks). 2. Feeding analytics & feedback into planning - We surface user behavior through Mixpanel and Google Analytics dashboards, and gather qualitative feedback via in-app surveys and our support Slack channel. - Every two weeks, our Product Ops coordinator consolidates these insights into JIRA epics and user stories. During backlog refinement, the cross-functional team prioritizes based on impact metrics (usage trends, NPS, support tickets) alongside architectural debt and roadmap goals. 3. Autonomy on tech investments & team scaling - As CPo/CTO, you’d have full ownership of the tech budget (including tools, infrastructure upgrades, and R&D initiatives) up to a pre-approved threshold. Proposals beyond that go through a quick sync with the CEO and our investor committee. - You’ll also lead hiring for engineers, QA, and UX roles,working with Talent Ops to grow the team in line with your strategic goals. Let me know if you’d like to dive deeper or if you’d like to book a 30-minute call to explore next steps. I’m happy to connect when it’s convenient for you.
Tud**lpe
Thanks for the details! As someone who’s built GitLab pipelines end-to-end, I’m curious how your canary releases handle traffic shifting and failure detection in practice, and how granular your Mixpanel/GA event instrumentation is across React and React Native. Also, what’s your typical SLA for approving budget requests that exceed your pre-approved threshold?
Hi T***, Great questions,here’s a bit more color: 1. Canary releases & traffic shifting - We do percentage-based rollouts via our Kubernetes ingress: start with 5% of prod traffic, monitor key metrics (error rate, latency, CPU/memory) in Prometheus/Grafana and Sentry for exceptions. If everything stays within our thresholds (e.g. <0.5% error spike), we ramp to 25%, 50% and finally 100%. Any deviation triggers an automated rollback hook and an immediate alert to the on-call engineer. 2. Mixpanel/GA instrumentation granularity - On React web we track at three levels: page views, component interactions (clicks, form submissions) and business events (e.g. course enrollment, module completion). We wrap critical UI components in a shared analytics HOC that enriches each event with user context (role, feature flags). - In React Native we use the same tracking library,screen visits, button taps and custom events like push-notification opens or in-app chat starts are all tagged with device metadata and user properties. This uniform approach lets us analyze cross-platform usage in Mixpanel and send aggregated page-view data to GA for funnel reporting. 3. SLA for budget approvals beyond threshold - You’ll have full autonomy up to your pre-approved limit. For anything above that, we sync with our CEO and investor committee. We aim to get a decision within one business day (often within a few hours for requests under €50K). Larger or strategic asks may take up to 48 hours, but we’ve optimized the process to avoid unnecessary delays. If you’d like to dive deeper on our canary pipeline configuration or see sample event schemas, I’d be happy to set up a quick call with our DevOps lead and Product Ops coordinator. Let me know what works for you!

How AI Recruiter Communicates with Candidates

Our AI follows a proven 5-step workflow: Smart Outreach → Needs Discovery → Intelligent Q&A → Collect Information → Schedule Interview.

1 Smart Outreach

AI analyzes the candidate's LinkedIn profile — job title, skills, industry, and career trajectory — then generates a highly personalized first message that highlights how the role matches their background and aspirations. The AI proactively reaches out at optimal times and adapts the message tone to each candidate's seniority level.

2 Needs Discovery

Through multi-round natural dialogue, AI uncovers the candidate's real career needs — including desired role type, salary expectations, work location preferences, growth priorities, and reasons for considering a change. This insight helps match them with the most relevant opportunities.

3 Intelligent Q&A

AI automatically answers candidates' questions about the role — including job responsibilities, salary range, benefits, team structure, work setup (remote/hybrid/on-site), and company culture. Responses are accurate, context-aware, and delivered instantly in the candidate's preferred language.

4 Collect Information

For interested candidates, AI naturally collects key information during the conversation — phone number, email address, salary expectations, earliest start date, and availability. All data is structured and synced to the recruiter dashboard in real time.

5 Schedule Interview

AI coordinates the candidate's and interviewer's availability, proposes suitable time slots, sends interview invitations with meeting details (link, agenda, interviewer info), and automatically sends reminders before the interview to minimize no-shows.

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