Benefits:

• Competitive pay package

• 100% employer-covered premium medical, dental, and vision insurance

• 401(k) plan

• Free lunches in the office

Experience Requirements:

• 5+ years of experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, etc.)

Other Requirements:

• Strong hands-on experience with public cloud platforms (AWS, GCP, Azure)

• Solid understanding of the AI/ML landscape (LLMs, TensorFlow, PyTorch)

• Proficiency in a programming language like Python or Go

Responsibilities:

• Architect solutions leveraging Model APIs, GPU Instances, and Serverless

• Lead customized product demonstrations and hands-on workshops

• Design and execute successful Proof of Concepts (POCs)

• Articulate platform value to engineers and C-level executives

• Channel field feedback to Product and Engineering teams

Benefits:

• paid time off

• medical

• dental

• 401k

• vision

Education Requirements:

• No preference

Experience Requirements:

• At least 8 years as a product owner or product manager in B2B SaaS

• Extensive expertise in all levels of product life-cycle

• Proven track record of developing market-leading products

• Demonstrated ability to build and lead a high-performance product management team

• Experience working in a start-up environment

Other Requirements:

• Familiarity with Data Science, Machine Learning, and Artificial Intelligence

• Exceptional analytical skills and ability to deliver actionable business insights

• Experience with mobile products and strategic initiatives

• Highly proactive self-starter capable of managing multiple projects

• Familiarity with vibe coding and prompt engineering

Responsibilities:

• Develop and manage product roadmaps and priorities

• Collaborate with cross-functional teams to optimize mobile solutions

• Enhance products and customer experience using Artificial Intelligence

• Represent BizzyCar at industry events and with stakeholders

• Implement effective product development and prioritization processes

Responsibilities:

• Designing intuitive and impactful products that incorporate AI technologies

• Collaborate with cross-functional teams to design, prototype, and deliver products

Experience Requirements:

• Technical expertise, creativity, and a passion for AI innovation

Responsibilities:

• Designing, developing, and deploying machine learning models

• Drive relevance and efficiency in our GTM solutions

Responsibilities:

• Constructing and maintaining the data pipeline architecture for our customers' data

• Enabling our AI solutions to deliver actionable insights

Responsibilities:

• Defining and designing intuitive, user-friendly interfaces and experiences

• Work closely with cross-functional teams to ensure solutions meet high usability standards

Experience Requirements:

• Highly resourceful individual with strong emotional intelligence

• Self-motivation and analytical skills

Responsibilities:

• Supporting the CEO and executive team to execute strategic initiatives

• Ensure operational excellence across the company

Responsibilities:

• Ensuring the quality of our data pipelines and AI models

Responsibilities:

• Creating and implementing the user interface and user experience

• Integrate AI functionalities with intuitive, high-performance web applications

Responsibilities:

• Designing, implementing, and maintaining integrations between our AI products and external systems

• Work closely with our development, product, and customer success teams

Benefits:

• Equity: 0.1% – 1.5%

Benefits:

• Equity: 0.1% – 1%

Benefits:

• Equity: 0.5% – 1.5%

Benefits:

• Equity: 0.3% – 0.5%

• 15% commission of new ARR closed

• Accelerators up to 22.5% for over-quota

• Commission: $127.5K – $212.5K

Experience Requirements:

• At least 1 year of work experience

• Preferred: 3+ years experience training and fine tuning ML models in production

• Preferred: Product ML experience building recommender systems

Other Requirements:

• Experience using LLMs to solve real world problems

• Proficiency in python, numpy, pytorch

• Attention to detail, willingness to debug data quality issues and solve learning problems end to end

• Preferred: Additional proficiency in Typescript, Rust, C++

Responsibilities:

• Fine tune embeddings and LLMs for better search, RAG, and question answering

• Prompt engineer RAG and other systems for question answering, data mining, and other tasks

• Collect analytics and mine them for product insights

• Build search and recommender systems to automatically improve the product over time

• Build real time LLM experiences using optimizations and tricks to provide results to users faster

Experience Requirements:

• At least 1 year of work experience

Other Requirements:

• Experience with React, Typescript, and Python

• Familiarity with LLMs

• Ability to use tailwind and CSS to create new frontend components

• Willingness to manage and build backend infrastructure for databases

• Preferred: Familiarity with GCP

• Preferred: Experience prompting

• Preferred: Additional languages like Lua, Rust, Haskell

Responsibilities:

• Design and implement systems to manage user data for LLM context and retrieval

• Build UI components and end to end UX for LLM based products

• Design systems using databases, web services, and UI components to solve interesting product problems

• Collect analytics, monitoring, and tracing to debug production issues and understand usage and users

• Build search and recommender systems to automatically improve the product over time

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field

Experience Requirements:

• 3+ years in solving complex ML challenges

• Proven experience in delivering impactful ML solutions

• Expertise in data quality measurement systems

• Deep understanding of frontier AI models

• Track record of publishing in top-tier AI/ML conferences

Other Requirements:

• Proficiency in Python

• Experience with PyTorch, JAX, or TensorFlow

• Strong analytical and problem-solving skills

• Exceptional communication and collaboration skills

Responsibilities:

• Advance AI alignment methods (RLHF, DPO)

• Improve human-in-the-loop data quality

• Develop AI-assisted data labeling tools

• Shape next generation of AI models

• Optimize human feedback collection

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field

Experience Requirements:

• 3+ years of experience addressing sophisticated ML problems

• Experience building and training autonomous agents

• Constructed and evaluated agentic benchmarks

• Track record of publications in top-tier AI/ML venues

Other Requirements:

• Proficient in Python and deep learning frameworks

• Adept at turning research ideas into prototypes

• Deep understanding of frontier models and post-training

Responsibilities:

• Create frameworks to benchmark autonomous agent capabilities

• Design agent-focused data programs using SFT and RL

• Develop data pipelines from code, web, and GUI sources

• Implement open-source agent libraries

• Engage with frontier AI labs and research community

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, AI (in progress acceptable)

Experience Requirements:

• Track record of publishing in top-tier AI/ML conferences

• Experience with training data quality construction

• Passion and experience for LLM evaluation

Other Requirements:

• Proficiency in Python

• Experience with PyTorch, JAX, or TensorFlow

• Deep understanding of frontier multimodal models

Responsibilities:

• Build evaluation and benchmark suites for LLMs

• Create post-training datasets at scale

• Prototype RLHF/DPO-style training loops

• Ship research improvements into product workflows

• Engage with customer research teams

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, Math, or AI

Experience Requirements:

• Prior experience leading LLM projects

• Experience working with data quality or dataset diversity

Other Requirements:

• Proficiency in Python and data analysis

• Exceptional communication skills

• Strong project management skills

Responsibilities:

• Work with AI labs to define data strategies

• Build scalable human data pipelines

• Develop and optimize Python scripts for data processing

• Define engineering requirements for human data tools

• Manage elite network of AI experts