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Business Development Specialist

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Onsite

Business Development Specialist

Ziroh Labs

Business Development Specialist

Skills

Machine LearningAICRMBusiness DevelopmentLead GenerationDigital Transformation

11 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

17 October 2026

What they need


Ziroh Labs, a deep tech startup with a global presence spanning both the Bay Area and

Bangalore, is at the forefront of innovation in the computing field. Ziroh Labs groundbreaking

work involves the convergence of advanced mathematical concepts and sophisticated

distributed system algorithms for the efficient execution of open-source foundational models on

CPUs. Through pioneering research and development, Ziroh Labs is pivotal in democratising

artificial intelligence. This democratisation has the potential to break down the barriers that have

limited access to AI technology, making it available to a broader range of individuals,

businesses, and organisations.

Job Brief:

We are seeking a highly motivated and results-driven Business Development Executive to

drive revenue growth and market expansion for Kompact AI and Ziroh Labs' AI solutions. The

ideal candidate will possess a strong understanding of enterprise technology sales, AI solutions,

SaaS platforms, cloud technologies, or digital transformation services.

The role involves managing the complete sales lifecycle, from lead generation and prospecting

to solution positioning, negotiations, and deal closure.

Responsibilities:

  • Lead Generation & Business Development
  • Identify, prospect, and qualify new business opportunities across Enterprise, SMB,
  • Government, BFSI, Healthcare, Education, Retail, and Manufacturing sectors.
  • Develop sales pipelines through outbound campaigns, networking, strategic
  • partnerships, referrals, events, and social selling.
  • Research target accounts and key stakeholders to build effective engagement

strategies.

Consultative Selling

  • Understand customer business challenges and align Kompact AI solutions to their digital
  • transformation and AI adoption goals.
  • Conduct product demonstrations, discovery sessions, and solution presentations.
  • Collaborate with technical teams to create tailored AI solution proposals.

Sales Cycle Management

  • Manage the entire sales lifecycle from lead qualification through closure.
  • Create and deliver compelling presentations, proposals, and commercial offers.
  • Drive contract negotiations and commercial discussions.
  • Consistently achieve and exceed sales targets and revenue objectives.

Stakeholder Management

  • Engage CXOs, CTOs, CIOs, Innovation Leaders, Engineering Heads, and decision-
  • makers.
  • Build long-term strategic relationships with clients and partners.
  • Act as a trusted advisor for AI adoption and enterprise AI transformation.

Market Intelligence

  • Stay updated on AI, GenAI, Agentic AI, LLMs, Enterprise AI Infrastructure, Cloud

Technologies, and emerging market trends.

  • Gather competitive intelligence and provide market feedback to leadership teams.
  • Identify new industry use cases and opportunities for Kompact AI deployment.

CRM & Reporting

  • Maintain accurate sales records, forecasts, and pipeline updates within CRM systems.
  • Prepare regular sales performance reports and business updates for leadership.

Skills and Requirements:

  • Bachelor’s degree in engineering, Computer Science, Business, Marketing, or related
  • discipline.
  • 3+ years of experience in B2B Technology Sales, Enterprise Software Sales, SaaS
  • Sales, Cloud Sales, AI/ML Sales, or Consulting Sales.
  • Proven track record of meeting and exceeding sales targets.
  • Strong understanding of enterprise technology ecosystems.
  • Exceptional communication, presentation, negotiation, and stakeholder management
  • skills.
  • Experience engaging with senior leadership and enterprise customers.

Preferred Qualifications

  • Understanding Agentic AI, LLMs, RAG architectures, AI infrastructure, or CPU/GPU
  • computing environments.
  • Experience in startup or high-growth technology organizations.
  • Existing network within enterprise technology ecosystems.

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