Venture Builder, Technical

1848 Ventures

1848 Ventures

Remote · United States
Posted on Thursday, December 21, 2023

The Company

1848 Ventures is a thriving Venture Studio focused on consistently launching and scaling a portfolio of B2B SaaS businesses with solutions powered by AI. We’re inspired by meeting small and medium sized business owners where they are and partnering to deliver solutions that help them navigate uncertainty and gain competitive advantage.

Developed in 2018 as a wholly owned subsidiary of Westfield, it’s through their financial backing that we’re enabled to learn and move with velocity without additional effort around raising capital. We take the best of validated approaches, methodologies, and talent while continuously learning and iterating to create successful ventures in a repeatable way.

Our ecosystem is supported by shared resources across all ventures and our venture studio model relentlessly focuses on decision making – grounded in desirability, feasibility, and viability – ensuring we’re looking at businesses and opportunities holistically. We share an appetite for driving results together through rapid experimentation, reflection and learning, and employee well-being.

Read on to discover how your skillset and experiences may help contribute to our approach.

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:

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).

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.


  • 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!

We are an equal opportunity employer/minority/female/disability/protected veteran.