Consultant

LatentView

$90K — $130K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-9 years of experience in strategy and execution roles
  • Strong expertise in AI tools and building production-grade AI solutions
  • Proficient in modern data stack management, especially with Databricks
  • Skilled in engineering, operations, and product leadership
  • Experience in cross-functional project management and leadership
  • Proficient in SQL and Python programming languages

Responsibilities

  • Support long-range planning and manage OKRs for the Services and Enablement organization
  • Identify inefficient processes and develop AI agents to streamline workflows
  • Architect and maintain data infrastructure for operational dashboards and AI systems
  • Facilitate collaboration between senior leadership and technical teams
  • Lead optimization of programs and financial planning to support growth

Benefits

  • Remote work flexibility
  • Opportunity to lead cutting-edge AI initiatives
  • Access to modern technology stack and data tools
  • Collaboration with top leadership and cross-functional teams
  • Potential for impact in a hyper-growth environment
Full Job Description


Designation : Consultant

Location : Remote

Experince : 7 to 9 years

Job Role :

The Strategy & Execution Manager is responsible for operationalizing Services and Enablement strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper-growth. This role is unique: you will bridge the gap between high-level executive strategy and technical execution, specifically by leveraging AI automation to streamline Services and Enablement delivery, improve margins, and automate complex internal workflows. The ideal candidate has not just worked with AI tools - they have built end-to-end AI-powered solutions using the modern AI and data stack and brings firsthand experience shipping production-grade systems.

Responsibilities :

Strategic Planning & Execution - Support Long Range Planning, OKRs, and identifying risks in planning assumptions for the Services and Enablement organization

AI & Process Automation - Identify inefficiencies within the Services and Enablement lifecycle and build AI agents to address them. You will be hands-on in the build - from prompt engineering and RAG pipelines to agent orchestration and evaluation frameworks

Modern Data Stack Ownership - Architect and maintain the data infrastructure underlying operational dashboards and AI systems, using tools Databricks native stack

Cross-Functional Leadership & Enablement - Act as the connective tissue between Senior Sales, Services, and Enablement Leadership and technical teams

Required skills :

Databricks - Engineering, Strategy, Execution, Operations; Product Leadershi; SQL; Python

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