--- title: 'Deployment Strategist at Dehazelabs' canonical: 'https://feeny.ai/job/deployment-strategist-dehazelabs-india-atfr4ghvvg3p' type: 'job' last_seen: '2026-09-12' --- # Deployment Strategist at Dehazelabs - **Company:** Dehazelabs - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/dehazelabs/d37982c6-475e-431d-af3c-ec9793124794 ## 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. Candidate Privacy Notice ## About Dehazelabs ## Company Overview - **One-liner**: DehazeLabs is an AI agent management and data engineering company that helps businesses deploy production-ready AI systems across data centers, edge environments, and enterprise platforms. - **Entity Type**: Private (Privately Held; no public funding rounds disclosed) - **Headquarters**: San Francisco, California, United States (also listed as Newark, Delaware for legal registration) - **Founded**: 2017 - **Founders**: Not publicly available ## Core Business - **Primary industries**: AI/ML services, data engineering, edge computing, computer vision, multimodal AI. Serves technology, financial services, healthcare, retail, manufacturing, and logistics sectors. - **Target customers**: B2B enterprise and mid-market organisations needing custom AI solutions, data infrastructure, and AI agent management. - **Mission**: “Pioneering Innovation with Advanced AI Solutions” – turning AI proofs-of-concept into production reality through telemetry, perception systems, and multimodal platforms [builtin.com](https://builtin.com/company/dehazelabs). ## Products & Services - **Data Engineering**: Transforms complex datasets into actionable insights using Snowflake and the modern data stack [dehazelabs.com](http://dehazelabs.com/). - **Gen AI / LLMs**: Provides large language model deployment, generative AI, and RAG (retrieval-augmented generation) solutions. - **Custom AI Solutions**: Bespoke AI platforms built for specific business processes, including computer vision and sensor fusion. - **Edge Computing**: Deploys real-time AI inference at the edge for low-latency decision-making and data privacy. - **MLOps & AI Platform Management**: Manages AI pipelines on Snowflake and other infrastructure, simplifying model operations. - **BreakFixBot**: Automated incident resolution tool (mentioned on website). - **Staffing & Onshore/Offshore Engineering**: Embeds engineers directly into customer teams, with a US-based partnership leadership and engineering bench across South Asia [dhlabs.ai blog](https://blog.dhlabs.ai). ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: ~18 employees (+4.5% YoY growth); no public revenue figures. - **Notable Investors/Partners**: Not publicly listed. - **Growth Signals**: Yearly headcount growth of +4.5%, expanding service lines (edge AI, multimodal platforms), direct relationships in Indian manufacturing, space sector, and global capability centers in Bengaluru and Hyderabad [linkedin.com](https://www.linkedin.com/company/dehazelabs). ## Competitive Advantages - **Production-first approach**: Focuses on deploying AI from proof-of-concept to live environments (e.g., GPU rack onboarding reduced from weeks to hours with EdgeTelemetry). - **Three anchor practices**: Data Center & Infrastructure AI, Edge & Perception AI, and Multimodal Enterprise AI Platforms – covering the full stack of AI deployment. - **Embedded engineering model**: Engineers work inside customer teams, reducing integration friction. - **Global talent distribution**: US-based leadership with a strong engineering bench in South Asia, giving cost-effective scale. - **Cross-sector experience**: Proven work in telecom (real-time SIEM), smart cities, logistics, and sports sponsorships (SponsorUnited reduced manual review by 90%+) [dhlabs.ai blog](https://blog.dhlabs.ai). ## Strategic Focus - **Current priorities**: Scaling edge AI and agentic operations for GPU clusters, telecommunications, and smart-city infrastructure; expanding multimodal AI platforms for video, audio, and document intelligence. - **Direction**: Building reusable AI agent frameworks and telemetry products (e.g., EdgeTelemetry) to shorten deployment cycles for new customers. - **Talent**: Growing engineering team in India and US while maintaining a small, agile headcount. ## Why Work Here - **Culture**: Small company (~18 employees) with a high density of technical talent (65% specialist/senior roles). Emphasis on production engineering and hands-on AI deployment. - **Remote/Hybrid Policy**: Remote roles available in India; San Francisco office (onsite workspace) for US-based staff. Typical on-site time is not defined but some roles are fully remote [builtin.com](https://builtin.com/company/dehazelabs). - **Perks**: Not extensively advertised; one Glassdoor-like review rates work-life 3.0/5 and culture 3.0/5. Recent job postings include DevOps Engineer and Junior Python Developer. - **Engineering Culture**: Engineers work directly with clients on real-world AI challenges – strong fit for those who enjoy applied ML, data infrastructure, and edge computing. ## Sources 1. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/DehazeLabs) – Careers page and job listings 2. [dehazelabs.com](http://dehazelabs.com/) – Official website with service details 3. [linkedin.com](https://www.linkedin.com/company/dehazelabs) – Company page, employee data, and updates 4. [builtin.com](https://builtin.com/company/dehazelabs) – Company overview, offices, and culture 5. [cbinsights.com](https://www.cbinsights.com/company/dehazelabs) – Headquarters and founding year ## Other roles at Dehazelabs - [Outbound Sales Representative](https://feeny.ai/job/outbound-sales-representative-dehazelabs-india-e31eatwywzgd) — India - [Go To Market](https://feeny.ai/job/go-to-market-dehazelabs-india-6y23sjgrnx8z) — India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-dehazelabs-india-cydmtdsxbdw2) — India - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-magentic-london-fza8a6h6gahw) — London, United Kingdom - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-probook-manhattan-5cp16xgr8v3s) — Manhattan, NY - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-atira-munich-aw21kceg1za9) — Munich, Germany - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-serval-london-3sbra3zsbt18) — London, United Kingdom - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-vitalize-san-francisco-zvm410nxzawe) — San Francisco, CA - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-solveai-london-63x48jtjeknp) — London, United Kingdom - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-chainalysis-johannesburg-kcmtst60n21n) — Johannesburg, South Africa