Deployment Strategist - US

Creandum; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

H Company in the US is seeking a Deployment Strategist to bridge customer needs and our engineering team. You will identify high-impact multi-step tasks to automate and help customers deploy agents at scale.

You will work with AI/ML deployments, lead customer engagements, deliver demos, coordinate trainings, and travel up to 50% to client sites.

Qualifications

• 3+ years selling and implementing complex IT solutions.
• A dual degree in Business and Engineering is ideal.
• Experience with AI/ML systems is appreciated.
• Fluency in at least one backend language (Python/Go/Node.js/Java) and English.
• Strong problem-solving in customer-facing environments.
• Excellent written and verbal communication.
• Bias for action—ship quickly, iterate, own the full lifecycle.

Responsibilities

• Dig into data to identify customer’s most important and impactful multi-step task to automate.
• Be the Go-To person for the customer.
• Partner with Forward Deployed Engineer to integrate solutions.
• Coordinate trainings to ensure best usage of our solution.
• Build and deliver demos and present results to strategic audiences.

Skills

Sales experience

IT solutions

Python/Go/Node.js/Java

Communication skills

Education

Business & Engineering

Job description

DEPLOYMENT STRATEGIST

About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.

About the Team: The Deployment Strategist is the strategic link between customer and our engineering team. Your key stack is understand where the biggest customer problem stand and help find the right Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform.

That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks.

Key Responsibilities:

• Dig into the data to understand and identify customer’s most important and impactful multi-step task to automate

• Be the Go To person for the customer

• Partner with Forward Deployed Engineer to Seamlessly integrate our solutions

• Coordinate trainings to ensure our solution best usage

• Build and deliver demos and present results to strategic audience

Requirements:

• 3+ years of selling and implementing complex IT solutions to customers

• A double curriculum in Business and Engineering school would be ideal

• Technical Experience working with AI/ML systems would be appreciated

• Fluency in at least one backend language (e.g., Python, Go, Node.js, Java) in addition to English ;-)

• Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments

• Excellent communication skills, both written and verbal

• Bias for action—able to ship quickly, iterate fast, and own the full lifecycle of solutions

• Willingness to travel for on-site deployments or customer engagements

Location:

• H's teams are distributed throughout France, the UK, and the US

• This role is currently in the US - Preferably in San Francisco Bay area, NY or Austin,

• You are expected to travel up to 50% of the time

What We Offer:

• Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems.

• Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment.

• Enjoy a competitive compensation package, including salary and equity

• Unlock opportunities for professional growth, continuous learning, and career development