The Opportunity

Who This Role Is For?

At 1848 Ventures, we’re looking for individuals who are enthusiastic about developing early-stage prototypes, particularly in the realms of AI and customer-centric tech. Success in this role requires comfort in a fast-paced, experiment-driven environment with the ultimate goal of achieving problem-solution fit. If you thrive in this type of space, this opportunity could be an excellent fit for you.

What You’ll Be Doing

Customer Interaction:

• Engage directly with customers, understanding their challenges to tailor AI-driven solutions.

Early Stage Experimentation:

• Lead innovative experiments using AI and software development, setting the standard for groundbreaking work.

Impact of Taking an Idea to MVP:

• Play a pivotal role in transforming innovative ideas into minimum viable products (MVPs), proving concepts and setting the stage for scalable growth.

Technical Excellence:

• Demonstrate expertise in building early-stage prototypes and testing them directly with customers.
• Specialize in AI Experimentation, validating the feasibility of AI solutions and building early-stage prototypes.
• Bridge AI and product development to validate the fit for an AI Powered Product.

Cross-Functional Collaboration:

• Collaborate with diverse teams, including product designers and data scientists, to foster innovation in AI Powered product development.

Innovation and Creativity:

• Encourage a culture of innovation, problem-solving, and creative thinking across all projects.

Day to Day Responsibilities

• Collaborate closely with product-minded co-lead, grounding work in our unique Studio Model.
• Deeply understand customer needs and pain points across various industries.
• Explore and test various value props, conducting early-stage prototype experiments to determine the most viable paths.
• Harness state-of-the-art AI to develop compelling value propositions and robust product roadmaps.
• Lead early-stage experiments to validate the feasibility of AI solutions.
• Bridge AI and product development, contributing to a cohesive strategy and execution.

Experience Requirements:

Data Science:

• Experience with diverse DS challenges, including NLP, CV, video, and time series analysis.
• Data architecture, ETL processes, and database management.
• Exposure to ML/AI model validation and rapid experimentation techniques.
• Familiarity with GenAI, LLMs, HuggingFace, and rapid ML iteration tools like H2O, GridSearch, AutoML.

Software Engineering:

• Experience in frontend technologies like React, or Python-based prototyping tools like Streamlit, Gradio.
• Good enough to create early-stage sacrificial prototypes to be validated with early adopters.
• Experience with backend engineering, data pipeline construction, or ML model deployment.
• Experience with DevOps practices and cloud platforms (AWS, Azure, Google Cloud).
• Proficiency in backend languages (Python, Java, Node.js), and database management (SQL, NoSQL).

Qualifications

• Strong technical foundation in software engineering and AI, with a focus on SaaS product development.
• Excellent problem-solving abilities and a creative approach to overcoming technical challenges.
• Bonus points if you have worked for an early-stage startup, extra bonus points if you have founded one!