GTM & Enterprise Sales Strategy

Sorry, this job was removed at 06:21 p.m. (CST) on Tuesday, Jan 27, 2026
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Palo Alto, CA, USA
In-Office
Artificial Intelligence • Machine Learning • Software
The Role

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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The Role

We are looking for a GTM & Enterprise Sales Strategist based in the Bay Area, CA. This is a high-impact role where you’ll drive enterprise revenue growth by partnering with Fortune 1000 executives, managing complex sales cycles, and shaping how AI transforms core business processes.

​​Unlike a traditional sales role, we’re seeking individuals who not only have hands-on sales experience but also bring a consulting, venture capital, investment banking, or founder mindset — people who can combine analytical rigor, structured thinking, and business storytelling with a proven ability to drive and close enterprise deals.

As the face of Nanonets to our enterprise clients, you will translate customer challenges into tailored AI solutions that deliver measurable impact

Roles and Responsibilities 

  • Own the full sales cycle for enterprise accounts in the US — from prospecting to negotiation and closing.
  • Engage with C-level executives and senior stakeholders to understand business challenges and design tailored solutions.
  • Apply structured, analytical problem-solving skills to craft compelling value propositions and ROI-driven business cases.
  • Build and manage strong, trust-based relationships across enterprise accounts.
  • Drive pipeline generation through outbound prospecting, events, and networks, in addition to managing inbound leads.
  • Collaborate closely with solutions engineering, product, and leadership teams to deliver impact for enterprise customers.
  • Consistently meet or exceed sales quotas in a fast-paced, high-growth environment.

Requirements and Skills 

  • 5+ years of experience working across Saas, AI, Automation, Consulting, VC, IB along with some sales exposure 
  • Consulting, Founder, Investing, Analytical background (e.g., strategy consulting, VC/IB, business consulting, pre-sales, or equivalent structured problem-solving roles).
  • Proven ability to manage complex, multi-stakeholder enterprise deals.
  • Comfortable navigating long sales cycles
  • Exceptional communication, presentation, and executive relationship-building skills.
  • Strong outbound prospecting and pipeline-building capability.

Nice to Have 

  • Experience with workflow-based pricing or selling tokens.
  • High-level understanding of LLMs, RAG, and model fine-tuning.
  • Prior experience transitioning from consulting/strategy into enterprise SaaS sales.

Additional Information 
Hybrid role, (twice a week in our Palo Alto office), based in the Bay Area, CA. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $180,000 - $200,000

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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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