Deployment Strategist

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🔥 4 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 12%

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Logo of DehazeLabs

DehazeLabs

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

💳 Fintech

Artificial Intelligence • Data Engineering • Fintech

DehazeLabs is a technology company specializing in the development and management of intelligent AI agents designed to enhance operational efficiency and decision-making for businesses, ranging from startups to large enterprises. With a strong focus on data engineering and custom AI solutions, DehazeLabs empowers organizations to leverage their data for actionable insights and improved workflows. Their innovative services also extend to MLOps, edge computing, and advanced analytics, ensuring clients can navigate complex data challenges effectively.

📋 Description

• Embed deeply with customers to understand processes and systems and identify important problems • Lead discovery with enterprise customers to understand workflows, constraints, and success criteria • Define scope, success metrics, and integration plans for pilots and rollouts • Translate customer needs into clear deployment plans for engineering teams • Coordinate deployments across Product, Engineering, and customer stakeholders • Track progress, manage risks, and remove blockers throughout deployments • Support production launches and ensure solutions are adopted and working as intended • Monitor deployed agents and drive follow-up improvements based on real usage • Identify additional use cases and expansion opportunities with customers • Spend time onsite with customers to work through constraints, answer questions, and ensure solutions deliver value

🎯 Requirements

• 0–1 year of experience in deployment-focused, technical, or execution-oriented roles • Ability to structure ambiguous problems and turn them into concrete plans • Comfort with APIs, MCP, data flows, and system integrations • Clear communication and stakeholder management skills • High ownership mindset and bias toward action • Interest in building and deploying AI-powered systems in real environments • Nice to have: background in solutions engineering, technical consulting, or forward-deployed roles • Nice to have: prior hands-on engineering experience • Nice to have: experience supporting production software launches • Nice to have: experience in high-growth or early-stage environments

🏖️ Benefits

• Work on a cutting-edge agentic solution • Join a team of high-agency builders from leading technology companies • Solve problems for and with large enterprise customers • Remote work arrangement

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