Aircover is a real-time AI-powered sales coaching tool that integrates with virtual meetings to provide sales reps with just-in-time information and guidance. It enhances discovery, messaging, and sales processes, shortens ramp time, increases rep efficiency, and ensures day-1 success for new product launches. Aircover integrates with various tech stacks (Zoom, Gmail, Outlook, Highspot, Salesforce, Google Meet, Microsoft Teams, SalesLoft, and Twilio) and offers features like AI-generated emails, MEDDPICC insights, and automated action items. Customer testimonials highlight significant improvements in win rates, ASP, and deal progression.
• ai-powered
• automated action items
• just-in-time information
• integrates with sales playbook
• real-time in-meeting sales coaching
• meddpicc insights extraction
• ai-generated custom email templates
• in-call, live coaching
Sr. LLM Infrastructure Engineer
Real-time AI-powered sales coaching for virtual meetings, boosting rep performance and increasing revenue.
Benefits:
Health, dental & vision benefits
Flexible work environment
Unlimited vacation
Stock option grants
Experience Requirements:
Confidence in building new products
Experience mentoring others
Excellent verbal and written communication skills
Passion for learning new things
Proven Experience with Language Models and NLP Techniques: Applicants must demonstrate experience working with large language models (such as Llama 2, Mistral, or similar architectures), including fine-tuning, and deploying models for various applications. Expertise in NLP techniques for text analysis, generation, and understanding is required.Experience with Vector Databases: Candidates must have experience with vector databases such as Pinecone, or PGVector, and possess familiarity with techniques for efficient vector search and similarity scoring. Knowledge of integrating these databases into applications in semantic search, recommendation systems, or content discovery using embeddings from language models is required.Strong Programming Skills: Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with software development best practices, including version control (Git), code review, and CI/CD pipelines, is also necessary.Data Handling and Model Optimization: Experience in handling large datasets, preprocessing data, feature engineering, and optimizing models for performance and efficiency. Knowledge of parallel computing, GPUs, and cloud services (AWS, Google Cloud, Azure) for scalable model training and deployment is a plus.Collaboration and Problem-Solving Skills: Ability to work effectively in a team, collaborating with data scientists, software engineers, and product managers to integrate LLMs into products and services. Strong analytical and problem-solving skills, with the capability to tackle complex challenges and drive innovation in LLM technology
Responsibilities:
Help build out our real-time LLM solutions
Scale vector databases
Productize and provision solutions from our research team
Bring inventions into production
Design and measure AI quality and evaluation metrics
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Design Intern
Real-time AI-powered sales coaching for virtual meetings, boosting rep performance and increasing revenue.
Benefits:
Competitive salaries with annual bonus eligibility
Annual performance appraisal & compensation review
401(k) with employer match
Health, dental, and vision insurance
Pre-tax transit accounts Vacation, personal, and holiday time-offFree and discounted MZW productFully-stocked kitchen and weekly catered lunchesHappy hours on our roof deck and seasonal team outingsContinuing educationBeautiful SoHo office
Education Requirements:
Working towards bachelor's degree in fashion design, industrial design or related field
Experience Requirements:
Proficient in the Adobe Creative Suite: Photoshop and Illustrator
Proficient in Microsoft Suite
An understanding of materials
Strong attention to detail and organizational skills
Ability to work independently and as part of a team.A self-starter and ability to multi-taskEnthusiasm for the arts, fashion and designMust be able to commit to 15-25 hours/ week
Responsibilities:
Assist in daily tasks to support the design team
Assist in research and mood boards
Help organize samples and materials
Assist in meeting preparation
Basic Adobe Photoshop + Illustrator renderingsAdditional projects as needed
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