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
D**d

D**d

Company:Reh**alsPosition:Co-Founder / CTOLocation:San Francisco, California, United States
Conversation Record
Hi D***d, I’m J***e, an HR recruiter at StrategyBrain. I came across your impressive track record leading W***r’s computer vision teams and now co-founding R***s,your expertise in scaling vision-based product prediction really stood out. We’re currently looking for a Head of Engineering, AI and Computer Vision at V***t, a Series A startup in San Francisco, and I’d love to share more if you’re interested.
D**d
Hi J***e, thanks for reaching out! I’d love to hear more about the Head of Engineering, AI & Computer Vision role at V***t,sounds like a great fit given my work scaling vision-based prediction at R***s and W***r.
Hi D***d, Great to hear you’re interested! At V***t,an SF-based, Series A startup with 60+ team members,we’re pioneering computer vision and ML to transform how customers discover and shop online. Our mission is to deliver ultra-personalized, visually rich shopping experiences at scale, and we’re looking for a Head of Engineering, AI & Computer Vision who can lead us there. In this role you would: • Own the end-to-end architecture and delivery of vision-based recommendation and product discovery features, from backend services to mobile/ web clients. • Build, mentor and grow a world-class engineering team spanning computer vision, ML and full-stack development,drawing on your R***s and W***r experience scaling prediction platforms. • Partner closely with product, design and data science to define a bold technical roadmap and ensure we prioritize the highest-impact projects. • Establish best practices around code quality, automated testing and agile processes to maintain velocity and reliability as we grow. Why it’s a great next step: • Impact & Ownership , You’ll be a key member of the executive team, shaping both technology strategy and product vision. • Growth , As we scale from Series A toward Series B and beyond, you’ll have full sponsorship for hiring, org design and leadership development. • Resources & Culture , We offer competitive salary, equity, health benefits, remote-friendly flexibility and a culture that champions innovation and continuous learning. Does this sound aligned with what you’re looking for? I’d love to dive deeper into any aspect,team structure, roadmap priorities or our technical stack. Let me know what questions you have!
D**d
This looks fantastic,owning end-to-end vision-based discovery at scale is right up my alley given my work at R***s and W***r. Could you share a bit more about your current tech stack and how the CV/ML teams are structured today?
Hi D***d, Great question,here’s a high-level view of our current setup: Tech Stack • Backend & Services: Python (FastAPI) and Go microservices, containerized with Docker and orchestrated in Kubernetes on AWS (EKS). • Computer Vision & ML: Python with PyTorch and TensorFlow for model development, OpenCV for pre-/post-processing, and SageMaker for training pipelines. • Data Layer: PostgreSQL for core storage, Redis for caching, and S3 for object storage. • Frontend & Mobile: React for our web dashboard and React Native for iOS/Android client integration. • DevOps & Tooling: Terraform for infrastructure as code, GitHub Actions for CI/CD, Datadog for monitoring. Team Structure We’re a tight-knit org of ~15 engineers in our CV/ML division, reporting into the Head of Engineering: , CV Team (4 engineers + 1 tech lead): Responsible for vision pipelines,object detection, image embeddings, real-time inference. , ML/Recommendations Team (4 engineers + 1 tech lead): Focused on ranking algorithms, personalization models and A/B experimentation. , Full-Stack & Platform (7 engineers): Build and maintain the service APIs, data pipelines, and client integrations. We work in agile squads, pairing across disciplines (product, design, data science) on two-week sprints and hold monthly roadmap reviews. To keep things moving smoothly, could you share your preferred contact method,email or phone,and, if you have it handy, a copy of your latest resume? That will help us set up a deeper conversation with our CTO and the product leads. Looking forward to chatting more! J***e
D**d
Thanks, J***e! You can reach me at d***d@r***s.com or on my cell at ***-***-1234. I’ve attached my latest resume,look forward to chatting with your CTO and product leads.
Hi D***d, Thanks for sending over your resume and contact details,I’ve received everything. I’ll loop in our CTO and product leads to set up two focused conversations: 1. A ~45-minute technical deep dive with our CTO 2. A ~30-minute roadmap discussion with our product leadership Could you share your availability next week (PST)? For example, we often book slots on Tuesday or Wednesday between 9,11 am or 2,4 pm. If those times don’t work, just let me know what does, and I’ll coordinate the invites and share agendas for each session. Looking forward to seeing how your vision-based recommendation expertise can help drive V***t forward. Feel free to reach out with any questions in the meantime! Best, J***e HR Recruiter, StrategyBrain for V***t
D**d
Hey J***e, Tuesday 9,11 am PST or Wednesday 2,4 pm PST both work for me,just let me know which slot you lock in. Looking forward to diving into the tech deep dive and roadmap discussion!
Hi D***d, Thanks for confirming your availability. Let’s lock in Tuesday from 9:00 , 9:45 am PST for the technical deep dive with our CTO, and 10:00 , 10:30 am PST for the roadmap discussion with our product leaders. I’ll send calendar invites shortly along with brief agendas for each session. If you need to adjust any times or have questions beforehand, just let me know. Looking forward to diving in! Best, J***e HR Recruiter, StrategyBrain for V***t
D**d
Sounds great,those slots work perfectly. I’m looking forward to diving into the vision-based recommendation deep dive and the roadmap discussion. Let me know if you’d like any pre-reads or additional info beforehand!
Hi D***d, Great,calendar invites and brief agendas just went out to your email. Here’s a quick overview: 1. Technical Deep Dive (Tue 9:00,9:45 am PST) - System architecture for vision-based recommendations - Inference pipeline, model training infrastructure, and scalability considerations - Q&A on integration with frontend/mobile clients 2. Roadmap Discussion (Tue 10:00,10:30 am PST) - Current product priorities and upcoming milestones - Cross-functional collaboration between engineering, product, and data science - Opportunities for innovation and team growth No formal pre-reads are required, but if you’d like our existing architecture diagrams or roadmap deck in advance, just let me know and I’ll send them over. Looking forward to our conversations! Best, J***e HR Recruiter, StrategyBrain for V***t

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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