Lavendo

👥 1-10Sales AutomationVirtual WorkforceSalesRecruiting💼 Private Company
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Lavendo is a leading remote sales talent acquisition firm, connecting startups and enterprises with top-tier sales professionals across the U.S. We specialize in matching businesses with candidates from SDRs to Heads of Sales, ensuring the best fit through our data-driven algorithm, which considers industry, deal size, sales cycle, and more. Our solution accelerates hiring and reduces costs significantly compared to traditional agencies. We leverage a robust tech stack, including SPF, Amazon, Google Apps for Business, GoDaddy DNS, and AWS Global Accelerator, to deliver efficient and effective recruiting solutions. The company was founded in 2021 and has seen a growing demand for our services. Our focus is on building high-performing sales teams, and we facilitate growth through strategic talent matching. We work with clients to understand their needs and find the best fit for their organization, ensuring a long-term relationship with both clients and candidates. Lavendo is a rapidly growing company based in the San Francisco Bay Area. With a team of 1-10 employees, we offer a remote-first work environment with a global reach, serving clients across various industries. We pride ourselves on offering fast-track career growth opportunities to employees. Lavendo has a strong presence on LinkedIn and is always looking to expand its team of talented professionals.

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📍 Worldwide

🧭 Full-Time

💸 4000.0 USD per month

🔍 Data Privacy and Security

  • Minimum 4 years of experience as a Full Stack Developer or PHP Developer on SaaS platforms
  • Strong experience with LAMP/LEMP stack and Linux command line proficiency
  • Proven ability to build scalable, load-balanced web applications and APIs
  • Experience working in fast-paced, startup-like environments with multiple priorities
  • Programming Languages: PHP, JavaScript, Python, Java
  • Frontend Frameworks/Libraries: ReactJS, JQuery, Bootstrap
  • Backend & API: RESTful APIs, AJAX, microservices architecture
  • Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data technologies (Hadoop, Hive, HBase)
  • Caching & Messaging: Redis, RabbitMQ
  • Cloud & Containerization: Docker, AWS, IaaS, PaaS, Elastic Search
  • DevOps & Version Control: Git, Bitbucket, third-party testing tools and frameworks
  • Write clean, secure, and high-quality code aligned with product requirements
  • Build interactive web applications, RESTful APIs, and efficient algorithms
  • Optimize application performance, security, and browser compatibility
  • Collaborate closely with a team of engineers to meet tight deadlines
  • Lead feature implementation, redesign complex interfaces, and influence technical decisions

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Posted 24 days ago
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📍 United States

🧭 Full-Time

💸 180000.0 - 300000.0 USD per year

🔍 AI Infrastructure

  • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
  • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
  • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
  • Solid understanding of the cloud ML tools landscape from industry leaders
  • Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
  • Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
  • Collaborate with clients to understand their business requirements and develop solution architectures
  • Design and document Infrastructure as Code solutions, technical documentation, and how-tos
  • Help customers optimize pipeline performance and scalability
  • Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
  • Assist with marketing efforts during events such as hackathons, conferences, and webinars

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Posted about 2 months ago
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📍 United States

🧭 Full-Time

💸 280000.0 - 340000.0 USD per year

🔍 Cloud Computing, AI/ML, Infrastructure-as-Code

  • At least 3 years of full-cycle sales experience in AI/ML, cloud computing, or data infrastructure
  • Proven track record of meeting or exceeding sales quotas (e.g., $30M–$50M)
  • Experience selling NVIDIA GPUs (A100, H100, H200) at Neo Cloud or Hyperscalers
  • Deep understanding of cloud platforms, GPU technologies, and AI infrastructure
  • Ability to self-source 70% of your pipeline through outbound efforts or existing relationships
  • Legal authorization to work in the U.S. without visa sponsorship
  • Manage the full sales cycle from prospecting to closing deals
  • Consistently meet or exceed sales quotas and KPIs
  • Demonstrate the value of AI infrastructure solutions through consultative selling
  • Build strong relationships with clients to drive repeat business and referrals
  • Collaborate with technical, marketing, product, and customer success teams
  • Stay updated on industry trends and competitive developments

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Posted about 2 months ago
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📍 United States

🧭 Full-Time

💸 180000.0 - 300000.0 USD per year

🔍 AI/ML, Cloud Computing, Infrastructure-as-Code

  • 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
  • Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
  • Demonstrated success delivering ML products, scaling from POC to production
  • Deep knowledge of ML frameworks like PyTorch and JAX
  • Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
  • Active involvement in the ML community (public speaking, open-source contributions, competitions like Kaggle and Hackathons)
  • Exceptional communication skills to engage both technical teams and business stakeholders
  • Legal authorization to work in the United States on a full-time basis without sponsorship
  • Architect and optimize distributed training and inference systems for large-scale AI models
  • Design and deliver customer-focused solutions that maximize performance and business value
  • Lead the transition of ML pipelines from POC to scalable production systems
  • Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
  • Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
  • Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
  • Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps

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Posted 2 months ago
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