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About Valley:Valley automates the end-to-end appointment-setting process for B2B companies using AI for 1/10 of the cost of using a human. Check out what Forbes has to say about Valley - HERE.
Valley is building an AI SDR that actually works. We believe that to solve the problems in outbound - you need to build a platform guided by sending fewer messages, not more. To achieve this the platform must:
Identify people actively in their buying journey, route / score them based on buying signals, research additional information about them, reason through the best approach angle for an outbound message, copy-write hyper-personalized sequences for them, and send messages to them on the cadence you define.
Data
Intent
Research
Outreach
Scheduling
In one platform.
If that gets you excited, keep reading. If you’re wondering “why are we not using this at my current company”, you can sign up at www.joinvalley.co.
The Mission: Valley increases the GDP of the innovation economy by making it cheaper and faster to find customers and sell your product. We want to create 1B hours in the world through sales automation and, in doing so, help businesses grow faster, cheaper, and more effectively than ever before**.**
The Vision: Automate away roboticism, monotony, and repetition in professional life through the use of artificial intelligence. Creating more time in the world for humans to perform human actions in the workplace.
🚀 Generative AI Builder/Nerd/Tinkerer
About the Role:
We're looking for a passionate Generative AI enthusiast to join Valley as our GenAI Builder. This role is perfect for the indie hacker who's been obsessively tinkering with AI models, building cool projects, and staying on the cutting edge of AI development.
✅ Salary: $80k to $140k Base Salary - $50k Equity Package with four-year vest
🫶🏼 Unlimited PTO
📍 Flatiron, NY
🌮 Lunch & Coffee Budget
💪🏽 Medical + Dental Benefits
🧠 What You'll Do:
- Experiment and InnovateConstantly prompt engineer and explore new open-source models
- Build and refine AI agents and chains of thought
- Force LLMs to reason through complex tasks
- Tinker with the latest AI tech and turn cool ideas into practical solutions
- Build and PrototypeUse tools like LangChain and LangGraph to create powerful AI applications
- Explore and implement GraphRAG and RAG solutions
- Rapidly prototype solutions to user problems and iterate them into production
- Code and DevelopWrite clean, efficient Python code
- Build data models and pipelines to support AI applications
- Implement and maintain AI infrastructure on cloud platforms
- Stay Current and Share KnowledgeKeep up-to-date with the latest AI trends and developments
- Actively participate in AI forums and communities
- Share insights and learnings with the team
- Fine-tune and OptimizeExperiment with fine-tuning different models for specific use cases
- Optimize model performance and efficiency
- Collaborate and CommunicateWork closely with users to understand their needs
- Translate technical concepts for non-technical team members
- Contribute to product strategy with AI-driven insights
🦾 What We're Looking For:
- Demonstrated passion for Generative AI, evidenced by personal projects or contributions to open-source AI initiatives
- Strong Python skills and experience with AI/ML libraries (TensorFlow, PyTorch, etc.)
- Hands-on experience with LangChain, LangGraph, or similar AI development frameworks
- Familiarity with various LLMs (GPT, BERT, LLaMA, etc.) and their strengths/weaknesses
- Experience with prompt engineering and chain-of-thought reasoning
- Knowledge of RAG techniques and vector databases
- Ability to rapidly prototype and iterate on AI solutions
- Strong problem-solving skills and creativity in applying AI to real-world problems
- Active participation in AI communities and forums
- Excellent communication skills, able to explain complex AI concepts simply
💥 You'll Love This Role If You:
- Get excited about every new AI paper or model release
- Have a GitHub full of AI experiments and half-finished chatbots
- Find yourself losing sleep because you're tweaking prompts at 2 AM
- Love the idea of getting paid to do what you already do for fun
- Want to work on cutting-edge AI applications that solve real business problems
- Enjoy the challenge of making AI work in practical, user-friendly ways
- Are always learning and want to be at the forefront of AI development
If you're as obsessed with Generative AI as we are and want to turn your passion into your career, we want to hear from you! Show us your coolest AI projects, tell us about your favorite LLM, and let's build the future of AI-powered sales together.
🤞🏼 Who You Are:
You leap. When you see something you find interesting - you jump in with full force. You tend to lose track of time when you get in the zone with something you love.
You don't clock in and out. When there's a fire - you are there with a hose. When there's a win - you are there with a piece of cake. When there is a loss - you rally the team and get to work.
You are responsive. You are available for your team when they need you.
You celebrate. Life is short - wins are important. But you never get complacent. Complacency is the death of ambition.
You are an energy. You bring passionate, contagious, and vibrant energy to those around you. You let yourself be yourself. Good vibes = good momentum // good momentum = good startup.
You figure it out. Learn how to learn, and you can do anything.
You do hard things. Easy choices, hard life - hard choices, easy life
You don’t quit. Roll with the punches, there will be many.
You point fingers when you win & hold hands when we lose
🛠️ Our Tech Stack:
- Programming Languages: Python (primary), JavaScript
- AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face Transformers
- LLM Tools: LangChain, LangGraph, LlamaIndex
- Vector Databases: Pinecone, Weaviate, Milvus
- Cloud Platforms: AWS (primary), GCP
- Containerization: Docker, Kubernetes
- Version Control: Git, GitHub
- CI/CD: GitHub Actions, Jenkins
- Monitoring and Logging: Prometheus, Grafana, ELK Stack
- Data Processing: Apache Spark, Pandas, NumPy
- Databases: PostgreSQL, MongoDB
- API Development: FastAPI, Flask
While we primarily use these technologies, we're always open to exploring new tools that can enhance our AI capabilities. Your experience with any of these is valuable, but we're more interested in your ability to learn and adapt to new technologies quickly.