Talent Acquisition Manager

Reposted 2 Days Ago
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India
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
The Talent Acquisition Manager will oversee the hiring process, collaborate with leaders, build candidate pipelines, and mentor junior recruiters, focusing on enhancing candidate experience.
Summary Generated by Built In

Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes. 

More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.

In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.

Read about the release here:

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About the Role:

We’re looking for a Talent Acquisition Manager to help us grow our team at Nanonets. This role is perfect for someone who loves rolling up their sleeves, thrives in fast-paced environments, and wants to directly shape how a startup scales. You’ll own the hiring process end-to-end, partner closely with our leaders across functions, and play a key role in building the teams that power our next stage of growth. Along the way, you’ll help craft an outstanding candidate experience and strengthen our employer brand.

Responsibilities:

  • Run the end-to-end hiring process across technical and non-technical roles, making sure every candidate has a smooth and positive experience.
  • Work closely with hiring managers and leadership to understand team needs and turn them into clear role requirements.
  • Build strong pipelines through creative sourcing and proactive outreach, not just waiting for inbound applicants.
  • Own recruiting operations—coordinate debriefs, manage offers and negotiations, and keep processes moving without bottlenecks.
  • Track key recruiting metrics (time-to-fill, offer acceptance, funnel conversion) and share insights that drive smarter decisions.
  • Continuously improve processes and look for ways to use automation or AI to speed things up and improve quality.
  • Contribute to employer branding efforts and help us tell the Nanonets story to potential candidates.
  • Mentor and support junior recruiters or interns, helping them grow into stronger contributors.

Requirements

  • 4–6 years of full-cycle recruiting experience in SaaS, product, other high-growth tech environments, or with reputable recruitment agencies
  • Proven track record hiring across Engineering, Deep Learning, GTM, and Business functions.
  • Strong sourcing abilities with a knack for engaging passive candidates.
  • Excellent communication, stakeholder management, and negotiation skills.
  • Data-driven approach—comfortable analyzing recruiting performance and acting on insights.
  • Experience with Greenhouse ATS is a definite plus.
  • Familiarity with recruitment tools like LinkedIn Recruiter and AI-driven sourcing methods is an advantage.
Why Join Us?
  • Innovative Culture: Be part of a forward-thinking company at the forefront of AI and ML innovation.
  • Growth Opportunities: Nanonets offers ample growth opportunities, allowing you to make a tangible impact in HR operations.
  • Flexible Work Arrangements: Enjoy a flexible hybrid work model with in-office thrice a week

Top Skills

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The Company
HQ: San Francisco, CA
58 Employees
Year Founded: 2017

What We Do

Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning.

At Nanonets, we serve up the most accurate models. Always.

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