AI Strategy & Product Lead

tenexlabs; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision

HSA and FSA

Life and AD&D insurance

Long-term disability

Paid time off

Job summary

Tenex helps firms apply AI across operations, turning discoveries into concrete product requirements and live rollouts. You will work with executives and frontline teams to run discovery, define success metrics, and lead adoption with prototype and automation work using AI, SaaS, and low-code tools.

You’ll report to an Engagement Manager and strive to deliver measurable business improvements, sharing learnings across Tenex teams.

Qualifications

• 3–7 years of experience in consulting, strategy, operations, product management, or workflow design.
• Able to turn unclear business problems into actionable requirements for engineering teams.
• Experience using AI tools daily to build solutions.

Responsibilities

• Understand how the client works and map processes to find delays.
• Decide what’s worth building and estimate business value.
• Define the product from discovery to priorities and acceptance criteria.
• Lead the client relationship with executive discussions and recommendations.
• Work with engineers to deliver, test prototypes, and collect feedback.
• Own adoption, plan rollouts, train users, and measure results.
• Share lessons learned to create reusable playbooks.

Skills

Experience: 3–7 yrs

AI tools daily

Requirements to engineers

Ownership and accountability

Problem framing

Tools

Claude

ChatGPT

Cursor

Zapier

n8n

Lovable

Cowork

Job description

Tenex helps firms apply AI across operations, turning discoveries into concrete product requirements and live rollouts. You will work with executives and frontline teams to run discovery, define success metrics, and lead adoption with prototype and automation work using AI, SaaS, and low-code tools.

You’ll report to an Engagement Manager and strive to deliver measurable business improvements, sharing learnings across Tenex teams.