Tech Recruiter
Actively Reviewing the ApplicationsWeekday AI (YC W21)
Hyderabad
Full-Time
4–8 years
Posted 1 day ago
•
Apply by June 11, 2026
Job Description
This role is for one of the Weekday's clients
Min Experience: 3 years
Location: Bengaluru, Mumbai
JobType: full-time
We are developing one of India's most ambitious intelligence enterprises, focused on creating world-class AI systems, data platforms, and product experiences that are designed for scalability and impact. As a member of the founding talent acquisition team, you will play a crucial role in defining the talent identity of this organization from its inception.
This is a full-stack recruiting position with significant ownership responsibilities, perfect for individuals who flourish in fast-paced, uncertain environments and are passionate about building systems rather than merely filling positions.
Requirements
Key Responsibilities
Take ownership of the complete recruitment process for roles in AI, data science, ML engineering, product, design, and platform functions across various levels.
3-7 years of recruiting experience
At least 3 years of experience in technical hiring, with a focus on AI / ML / Data / Product / Engineering domains being advantageous.
Experience in startup environments or organizations in the early stages of development.
Skills
Technical Recruiting
Min Experience: 3 years
Location: Bengaluru, Mumbai
JobType: full-time
We are developing one of India's most ambitious intelligence enterprises, focused on creating world-class AI systems, data platforms, and product experiences that are designed for scalability and impact. As a member of the founding talent acquisition team, you will play a crucial role in defining the talent identity of this organization from its inception.
This is a full-stack recruiting position with significant ownership responsibilities, perfect for individuals who flourish in fast-paced, uncertain environments and are passionate about building systems rather than merely filling positions.
Requirements
Key Responsibilities
Take ownership of the complete recruitment process for roles in AI, data science, ML engineering, product, design, and platform functions across various levels.
- Collaborate closely with business and technology leaders to identify hiring requirements, create interview processes, and ensure swift, high-quality decision-making in hiring
- Devise innovative sourcing methods to attract elite tech professionals from FAANG companies, startups, and research ecosystems, including H1B/returnee talent pools, deep-tech networks, and AI laboratories
- Establish and maintain a strong pipeline of candidates through both inbound and outbound channels such as LinkedIn, GitHub, Kaggle, AI communities, referrals, and industry events
- Implement a structured evaluation process that includes technical assessments, case studies, and cultural fit interviews in collaboration with hiring managers
- Provide an exceptional candidate experience by balancing speed, thoroughness, and transparency throughout the hiring process
- Monitor and report on key Talent Acquisition metrics, including pipeline velocity, offer-to-join ratios, diversity indicators, and channel effectiveness
- Work alongside the Talent Acquisition Head to put hiring frameworks, ATS workflows, and talent intelligence dashboards into action
3-7 years of recruiting experience
At least 3 years of experience in technical hiring, with a focus on AI / ML / Data / Product / Engineering domains being advantageous.
Experience in startup environments or organizations in the early stages of development.
- Robust understanding of contemporary AI talent profiles, including researchers, data engineers, ML platform engineers, applied scientists, and design researchers
- Demonstrated success in directly sourcing and engaging with specialized talent markets
- A data-driven mindset with proficiency in utilizing ATS tools, dashboards, and hiring analytics
Skills
Technical Recruiting
Required Skills
Cloud Networking
Microsoft Azure
Google Cloud Platform
Incident response
Computer Science
Apache Kafka
Data pipelines
Data center
Network Engineering
Adobe Illustrator
Network design
Network administration
Electrical Engineering
Network Automation
Automated Testing
Python
SRE
AWS
Ansible
Observability
Firewalls
DevOps
Prometheus
Grafana
OpsGenie
Elasticsearch
Logstash
Kibana
Linux
Kubernetes
IPv6
BGP
VPN
SolarWinds
ServiceNow
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