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Job Description
### About Zinnov
Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face:
- Where should we invest?
- How do we scale globally?
- What capabilities will win in the next decade?
Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware.
At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity.
Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations.
Why Globalisation Excellence (GE)
Zinnov’s Globalisation Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end — from Design & Discovery to Build, Scale, and Run.
In GE, you don’t work in silos.
- Own complex, end-to-end client journeys
- Work across GCC advisory, managed services, and BOT / outsourcing models
- Influence leadership decisions that shape long-term talent and operating strategies
This is where strategy meets execution — and where talent plays a defining role.
About the Role
This role requires a sourcing-first recruiter with deep expertise in identifying and hiring mid-level engineering talent across Software Engineering, Cloud, Data, and AI domains. The ideal candidate is AI-savvy, leverages modern recruiting technologies, and excels at building proactive talent pipelines for niche technical roles.
You’ll blend hands-on recruiting execution with consultative advisory, partnering closely with business leaders, HR teams, and universities to design hiring approaches that work — today and at scale.
What You’ll Do
Candidate Sourcing, Tracking & Experience
- Drive proactive sourcing for Software Engineers (SE), Senior Software Engineers (Sr. SE), Full Stack Engineers, Backend Engineers, Frontend Engineers, Cloud Engineers, Data Engineers, DevOps Engineers, and other mid-level technology roles.
- Build strong passive talent pipelines through market mapping, talent intelligence, referrals, social sourcing, and AI-powered recruiting tools.
- Source and hire emerging AI talent including AI Engineers, Machine Learning Engineers, Generative AI Engineers, Data Scientists, and MLOps Engineers.
- Leverage GenAI and AI-enabled recruiting platforms to improve sourcing productivity, candidate engagement, and talent discovery.
- Maintain clean, disciplined pipelines with clear reporting and funnel visibility
- Deliver a standout candidate experience through speed, clarity, and thoughtful communication
Candidate Assessment & Placement
- Assess early-career and technical talent through structured interviews and assessment centres
- Match candidate strengths and aspirations with business needs to ensure best-fit placement
- Consolidate and present interview feedback into crisp, decision-ready summaries
Stakeholder Partnership & Advisory
- Partner with Engineering Managers and Technical Leads to understand hiring priorities, technical competencies, and evolving skill requirements.
- Provide market intelligence on Software Engineering, AI, Cloud, and Data talent availability and competitive hiring trends.
Hiring Manager Enablement
- Guide stakeholders on delivering a consistent, high-quality candidate experience throughout the hiring process.
- Educate hiring managers on interviewing, diversity hiring, and candidate engagement best practices
What You Bring
Qualifications & Experience
- Bachelor’s degree required; Master’s / MBA in HR or related fields preferred
- 4–6 years of hands-on technical recruiting experience in Product Engineering, Digital Engineering, GCCs, or technology organizations.
- Demonstrated success hiring Software Engineers (SE), Senior Software Engineers (Sr. SE), Full Stack Engineers, Backend Engineers, Frontend Engineers, Cloud Engineers, DevOps Engineers, Data Engineers, and QA Automation Engineers.
- Exceptional sourcing expertise across Software Engineering, Product Engineering, AI/ML, Cloud, Data Engineering, and Digital technologies, with a proven ability to build high-quality passive talent pipelines.
- Hands-on experience hiring AI/ML talent including AI Engineers, Machine Learning Engineers, Generative AI Engineers, Data Scientists, and MLOps Engineers is highly preferred.
- Experience using AI-powered recruiting platforms and GenAI tools for sourcing, market mapping, candidate engagement, and recruiting automation.
- Ability to leverage AI for talent intelligence, market research, candidate outreach, and workflow optimization.
- Proven ability to manage multiple candidates and requisitions simultaneously
- Strong track record of meeting or exceeding hiring metrics (quality, speed, diversity, experience)
- Excellent communication, stakeholder management, and organizational skills
Key Skills
- Strong sourcing and pipeline-building expertise
- Consultative stakeholder management across business, HR, and global teams
- Candidate assessment and structured feedback management
- High attention to detail with strong data and reporting hygiene
- Customer-first mindset with a bias for action and accountability
- Ability to thrive in fast-moving, high-dependency environments
What Success Looks Like
- Technical Hiring Delivery & Closure
- Mid-Level Engineering Hiring Excellence
- AI & Emerging Technology Hiring
- passive Talent Pipeline Development
- AI-Enabled Recruiting Adoption
- Sourcing Productivity & Pipeline Quality ratios
- Quality of Hire & Technical Fit
- Stakeholder & Hiring Manager Partnership
- Candidate Experience & Engagement
- Recruitment Analytics & Funnel Optimization
Zinnov is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.
Key Responsibilities
Drive proactive sourcing for mid-level engineering and AI/ML talent roles.
Build passive talent pipelines through market mapping, referrals, and AI-powered tools.
Assess candidates through structured interviews and assessment centers.
Partner with engineering managers to understand hiring priorities and technical competencies.
Provide market intelligence on talent availability and competitive trends.
Guide stakeholders on candidate experience and interviewing best practices.
Requirements
Bachelor's degree
Skills Required
Technical RecruitingSourcingAI-powered recruiting platformsGenAI toolsTalent intelligenceMarket mappingCandidate assessmentCommunicationStakeholder managementOrganizational skillsAttention to detailCustomer-first mindsetAccountabilityAI/ML Talent HiringGenerative AI HiringMLOps HiringData Science Hiring
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