CNX Logo

CNX

Sr. Specialist, Customer Acquisition - API (Korean Speaker)

Posted 12 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Pasir Panjang, SGP
Senior level
In-Office or Remote
Hiring Remotely in Pasir Panjang, SGP
Senior level
Own and close high-value API opportunities ($25K+), managing end-to-end sales cycles. Qualify, forecast, and prioritize inbound pipeline using data and usage signals. Lead technical-commercial negotiations, partner with Sales Engineers, and build tailored solutions to drive consumption-based adoption of AI/LLMs. Collaborate cross-functionally to unblock deals and inform product and GTM strategy.
The summary above was generated by AI

Job Title:

Sr. Specialist, Customer Acquisition - API (Korean Speaker)

Job Description

Own inbound pipeline for high-value API opportunities ($25K+), leading deals end-to-end from qualification through close in a consumption-based model.
Lead negotiations and manage complex sales cycles, including procurement, security reviews, and stakeholder alignment.

Key Responsibilities

  • Drive high conversion rates on inbound demand by balancing technical credibility with strong commercial acumen.
  • Maintain rigorous pipeline management, forecasting accuracy, and CRM discipline.
  • Ensure disciplined qualification and prioritization of opportunities using data signals, usage insights, and account intelligence to improve pipeline quality and funnel efficiency.
  • Operate as a senior consultative seller, engaging both business and technical stakeholders to shape AI adoption strategies.
  • Drive sophisticated discovery across business goals, technical requirements, and expected usage patterns to identify high-value LLM use cases.
  • Translate customer needs into scalable consumption models, guiding customers on pricing, cost management, and long-term value realization.
  • Build and present tailored solution proposals that integrate technical architecture, commercial structure, and expected outcomes.
  • Act as a trusted advisor to customers, influencing early-stage thinking on how AI/LLMs can transform their products or operations.
  • Shape customer buying strategy by connecting business outcomes with technical feasibility and platform capabilities.
  • Partner deeply with Sales Engineers to navigate complex technical evaluations, ensuring alignment between customer requirements and platform capabilities.
  • Collaborate cross-functionally with product, engineering, and GTM teams to unblock deals and improve the customer buying journey.
  • Use product usage data, engagement signals, and market insights to accelerate deal progression, improve conversion probability, and optimize sales cycle velocity.
  • Provide structured market feedback on emerging use cases, pricing sensitivity, and competitive dynamics.
  • Continuously refine sales strategies to adapt to evolving AI capabilities, pricing models, and buyer sophistication.
  • Act as the commercial bridge between customers and internal technical/product teams, ensuring feedback loops inform both product direction and GTM strategy.

Qualifications

  • 4+ years of experience in SaaS, API, or technical solution sales, with a strong track record of closing complex deals.
  • Proven success closing mid-market to enterprise deals ($25K+), particularly in consumption-based or usage-based models.
  • Strong experience selling technically complex products, ideally APIs, developer platforms, or AI/ML solutions.
  • Demonstrated ability to run multi-threaded sales cycles involving both business and technical stakeholders.
  • Strong commercial acumen, including pricing strategy, deal structuring, and value-based selling.
  • Ability to understand and confidently discuss technical concepts such as APIs, integrations, and system architectures.
  • Experience working alongside Sales Engineers in complex pre-sales cycles.
  • Excellent discovery and consultative selling skills, with the ability to shape customer thinking, not just react to it.
  • Strong communication and executive presence, with the ability to engage senior stakeholders.
  • Proficiency with Salesforce.com and pipeline management best practices.
  • Highly analytical, with the ability to leverage data and signals to prioritize and win deals.
  • Comfort operating in a fast-evolving, ambiguous AI landscape.
  • Strong ownership mindset with the ability to independently drive outcomes in high-impact scenarios.

Location:

SGP Singapore - 80 Pasir Panjang Road, 15-83/84 Mapletree Business City #2

Language Requirements:

Korean (Required)

Time Type:

Full time

Similar Jobs

35 Minutes Ago
In-Office or Remote
Singapore, SGP
Internship
Internship
Information Technology • Software • Financial Services • Big Data Analytics
The Quantitative Researcher develops trading models and conducts research using complex statistical techniques, requiring a PhD in a quantitative field.
Top Skills: C++PythonR
36 Minutes Ago
In-Office or Remote
Singapore, SGP
Internship
Internship
Information Technology • Software • Financial Services • Big Data Analytics
Internship supporting trade lifecycle operations across asset classes. Collaborate with trading/financing desks, counterparties, exchanges, prime brokers and custodians. Perform data analysis and coding, identify process and technology improvements, and help reduce inefficiencies across trade workflows while learning securities financing and market products.
36 Minutes Ago
In-Office or Remote
Singapore, SGP
Expert/Leader
Expert/Leader
Information Technology • Software • Financial Services • Big Data Analytics
Global Quantitative Researchers at Citadel leverage advanced statistical and quantitative techniques to drive investment strategies and optimize portfolios.
Top Skills: C++Python

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account