The Company

1848 Ventures is a venture studio focused on consistently building, launching, and scaling a portfolio of B2B SaaS companies that harness the power of AI to fuel the future of small and medium sized business.

Backed by Westfield®, a respected leader in commercial insurance, 1848 Ventures extends beyond insurance by launching digital products that address the uncertainties that businesses face on a daily basis. We focus on industries that are the driving force of our economy including construction, real estate, hospitality, retail, and restaurants. Westfield’s backing affords us the agility to explore innovative ideas, weather uncertainties, and pursue ambitious ventures with confidence.

Our talented team of hands-on venture builders, data scientists, engineers, and designers combined with repeatable playbooks allows us to rapidly validate, build, launch, and scale customer focused AI enabled startups.

At 1848 Ventures culture is not just a concept – it is the essence of what we do, our behaviors, rituals, and practices. It’s the actions that enable our set of evolving relationships and the experiences they create. The culture is grounded in the practice of virtues. This enables our pursuit of excellence, which we express and measure by our actions. We act on these behaviors in the “how” of our work, our interactions with others, and the conduct we hold ourselves and others accountable to, individually and collectively.

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:

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!

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

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