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Deployment Strategist

Role overview

Qualifications

  • 0-1 year of experience in deployment-focused, technical, or execution-oriented roles.
  • Strong ability to structure ambiguous problems and turn them into concrete plans.
  • Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.
  • Clear communication and strong stakeholder management skills.

Responsibilities

  • Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.
  • Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
  • Define scope, success metrics, and integration plans for pilots and rollouts.
  • Coordinate deployments across Product, Engineering, and customer stakeholders.

Key facts

  • Remote from: India
  • Full time
  • Junior (1-2 years)
  • English

Hard skills

Other skills

  • Problem Solving
  • Communication

About the company

Dehazelabs logo

Dehazelabs

Artificial Intelligence & Machine Learning Services

DeHaze Labs builds the telemetry, perception, and multimodal AI systems behind data centers, telecommunications networks, smart cities, and industrial operations. We ship the systems that turn AI from POC to production reality. Three practices, anchored in production deployments: → Data Center & Infrastructure AI — Real-time telemetry, observability, and agentic operations for GPU clusters, telecom networks, and critical infrastructure. Anchor work: real-time SIEM at telco scale and our own EdgeTelemetry product (GPU rack onboarding from weeks to hours). → Edge & Perception AI — Computer vision, sensor fusion, and ML inference for physical-world systems. Anchor work: smart-city perception data platform and AI/ML for logistics routes. → Multimodal Enterprise AI Platforms — End-to-end platforms for video, audio, and document intelligence at production scale. Anchor work: SponsorUnited (90%+ manual review reduction via CV + LLM validation pipelines). We embed engineers directly into customer teams. US-based partnership leadership, engineering bench across South Asia, and direct relationships in Indian manufacturing, the emerging Indian space sector, and the global capability centers in Bengaluru and Hyderabad. Talk to us: hello@dhlabs.ai Web: https://dhlabs.ai Blog: https://blog.dhlabs.ai

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

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Job description

Deployment Strategist

Location: Remote

Job Type: Full-Time

About the job

What You'll Do


As a Deployment Strategist at DehazeLabs, you are responsible for making AI deployments actually land.

DehazeLabs is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production.

This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end.

  • Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win.

  • 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 the deployment.

  • 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.

You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value.

  • Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now.

  • You’ll join a team of high-agency builders coming from the best tech companies out there.

  • Never boring - you’ll be solving problems for and with the biggest Enterprises in the world.

Who You Are

  • 0-1 year of experience in deployment-focused, technical, or execution-oriented roles.

  • Strong ability to structure ambiguous problems and turn them into concrete plans.

  • Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations.

  • Clear communication and strong 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.

  • Prior hands-on engineering experience.

  • Experience supporting production software launches.

  • Experience working in high-growth or early-stage environments.

Why This Role Exists

Enterprises are ready to use AI, but execution is the hard part.

This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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