Deployment Strategist

present of AI; New York (NY); On-site; USD 85,000 - 120,000; Full time

Job summary

David AI seeks a Deployment Strategist to translate products into practical customer setups, focusing on scoping, rollout planning, and hands-on user support during adoption.

A strong candidate communicates clearly, is comfortable with technical products, and guides stakeholders through change as the team implements speech data workflows and model evaluations.

Qualifications

• Turns a product into working setups for customers with scoping needs and rollout planning.
• Stays close to users until things run smoothly.
• Emphasizes communication and comfort with technical products.

Responsibilities

• Configure models and data pipelines for customer use cases.
• Guide teams through changes and ensure successful adoption.
• Support deployment and validation during rollouts.

Skills

Customer rollout planning

Technical product fluency

Clear stakeholder communication

Problem solving under change

Job description

Customer & Solutions San Francisco / New York City Full-time Mid level

A Deployment Strategist usually turns a product into working setups for customers, which means scoping needs, planning rollouts, and staying close to users until things run smoothly. A strong candidate brings clear communication, comfort with technical products, and the patience to guide people through change. Here that means helping teams put conversational audio data and speech research tools to work.

How it fits the AI era

AI shifts this work toward configuring models and data pipelines rather than only installing software, so the strategist spends more time on use cases and quality checks. Judgement about what a customer really needs, and trust built face to face, stay human. The role sits between the technology and the people adopting it.

How it builds AI experience

The role offers hands on exposure to speech data workflows and voice model evaluation, which builds practical AI fluency. A candidate can strengthen this by learning how audio datasets are collected and checked, and by trying small projects with speech or language models. Understanding data quality matters most here.

Worth showing

• Customer rollout planning
• Technical product fluency
• Clear stakeholder communication
• Problem solving under change

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About David AI

High-fidelity conversational audio dataset generation and speech research platform for foundation voice models, per the company.