Senior Sales Tech Engineer — AI-Powered Revenue Tools

Nasdaq, Inc.; Taguig; Hybrid; PHP 1,400,000 - 2,100,000; Full time

Benefits offered by this job

HMO coverage for you and dependents

Employee stock purchase plan

Equity grant

Retirement plan

Job summary

Nasdaq, Inc. is hiring a Senior Specialist - Sales Technology Engineer to own the go-to-market tool stack and integrations. Based in Bonifacio Global City, Taguig, the role offers a hybrid work model with at least 2 days in the Nasdaq office weekly.

You will collaborate with Sales, Business Development, Customer Success, and Revenue Operations to optimize tools, evaluate new platforms, and drive AI-powered improvements across the stack.

Qualifications

• 5+ years in administering sales tech tools in a revenue operations environment.
• Hands-on experience with two or more go-to-market platforms (Gong, Outreach, LinkedIn Sales Navigator, Cognism, ZoomInfo).
• Working knowledge of Salesforce at a technical level — including data flows and tool connectivity.

Responsibilities

• Own go-to-market tool stack configuration, optimization, and integration.
• Build and maintain CRM-tool integrations using native connectors and workflows.
• Partner with Sales, Business Development, Customer Success, and Revenue Operations to align priorities and deliver solutions.
• Evaluate new tools and make data-driven recommendations.
• Champion AI capabilities across the stack to improve efficiency.

Skills

Sales tech tools

Salesforce (technical)

System integrations

Problem solving

Hybrid work readiness

Mid-shift availability

Tools

Gong

Outreach

LinkedIn Sales Navigator

Cognism

ZoomInfo

Job description

Nasdaq, Inc. is hiring a Senior Specialist - Sales Technology Engineer to own the go-to-market tool stack and integrations. Based in Bonifacio Global City, Taguig, the role offers a hybrid work model with at least 2 days in the Nasdaq office weekly.

You will collaborate with Sales, Business Development, Customer Success, and Revenue Operations to optimize tools, evaluate new platforms, and drive AI-powered improvements across the stack.