--- title: 'Go To Market at Dehazelabs' canonical: 'https://feeny.ai/job/go-to-market-dehazelabs-india-6y23sjgrnx8z' type: 'job' last_seen: '2026-09-12' --- # Go To Market 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/43172b05-6974-4eac-8d19-c2a6d418012e ## Job description Go To Market Location: Remote Job Type: Full-Time ## About the job Role Overview: You’ll lead and close high-stakes enterprise deals across the region, expand existing relationships, and create durable revenue streams with major organizations. - Build and grow trusted relationships with CxOs, IT leaders, and Customer Service executives in large enterprises. - Drive measurable growth within the accounts you own, turning them into long-term success stories. - Expand DehazeLab’s footprint by opening new doors and landing fresh enterprise customers. - Hit - and exceed - activity, pipeline, and revenue targets, setting the bar for sales excellence. - Keep customer details sharp and actionable in HubSpot: use cases, purchase timelines, next steps, and forecasts. - Sell on value, not features, using a solution-based approach that proves real business impact for customers. Requirements: - 1+ years of smashing Sales quotas in SaaS or AI-driven solutions, consistently closing large, complex accounts with multi-stakeholder cycles - Exceptional communication, presentation, and negotiation skills - The ability to work independently, manage a sales pipeline, and prioritize effectively - Excellent English (written and spoken) plus fluency in local languages: Hindi, Telugu - A passion for artificial intelligence and a "get-it-done" attitude - A "hunter" mentality with a track record of generating new leads and closing deals - A proven ability to navigate and win in early-stage, high-growth environments, staying sharp and effective with limited oversight - The skill to cut through tech jargon and turn technical capabilities into clear, compelling business value that makes executives lean in - Proven wins working hand-in-hand with System Integrators and Hyperscalers to drive joint success - Bachelor’s Degree (or equivalent hustle and expertise) 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 - [Deployment Strategist](https://feeny.ai/job/deployment-strategist-dehazelabs-india-atfr4ghvvg3p) — India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-dehazelabs-india-cydmtdsxbdw2) — India