Avatar for 1848 Ventures
1848 Ventures
Actively Hiring
A B2B SaaS venture studio focused on building and launching AI-powered ventures that SMBs
  • B2B
  • Growth Stage
    Expanding market presence

Full Stack Engineer

Posted: 1 month ago
Visa Sponsorship

Not Available

Hires remotely in
RelocationAllowed

About the job

About Us

At 1848 Ventures, we're not just building companies—we're shaping the future. As a venture studio focused on B2B SaaS startups powered by data and AI, we're on a mission to transform the SMB market in industries that are the backbone of the economy, such as construction, real estate, hospitality, retail, and restaurants. Our team of venture builders, data scientists, engineers, and designers leverage cutting-edge AI to build products that empower SMB businesses to succeed.

We're not following traditional playbooks; we're creating our own. Join us and help drive innovation in industries where data and AI can make a real impact.

The Opportunity

1848 Ventures is seeking a mid-level Full Stack Software Engineer to join our team and play a pivotal role in developing innovative digital products that help small and medium-sized businesses grow. In this role, you will have a direct impact on our goal to ideate, test, refine, and launch new ventures, thereby generating more customers, creating new sources of financial and strategic value, driving deeper insights about risk, and enhancing the Westfield value proposition. As part of an agile, diverse, multi-disciplinary team, you will design, build, and deploy scalable software solutions that meet the needs of our customers and contribute to the success of our ventures.

What You'll Do

  • Collaborate with team members within the Venture Loop to design and develop software solutions that support the delivery of new ventures from ideation to launch, pivot, or shut down with velocity.
  • Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance.
  • Design, develop, and maintain scalable, high-performance applications using a variety of technologies, including but not limited to AWS, Python, Node.js, and React.
  • Ensure software is built to be data-driven and integrated with various data solutions.
  • Contribute to the development and refinement of software engineering best practices and processes.
  • Work collaboratively with designers, data scientists, and business stakeholders to ensure software solutions meet customer needs and business objectives.
  • Stay current with emerging trends and technologies in software engineering.

Participate in/Contribute to

  • Fostering collaborative and mutually beneficial cross-functional relationships that help accelerate 1848 Ventures’ progress toward its goals.
  • Thought leadership across the entire 1848 Venture portfolio to build on the ideas of others, improve outcomes, and ensure strategic alignment.
  • Developing and iterating frameworks and capability building across 1848 Ventures.

About the company

1848 Ventures company logo

1848 Ventures

Actively Hiring
A B2B SaaS venture studio focused on building and launching AI-powered ventures that SMBs11-50 Employees
  • B2B
  • Growth Stage
    Expanding market presence
Learn more about 1848 Ventures image

Similar Jobs

Quick'rCare company logo
Quick'rCare
Search. Find. Hold your place in line with immediate care
Tokensoft company logo
Tokensoft
Delivering integrity to the financial markets by automating finance
lvlAlpha company logo
lvlAlpha
Next-Gen Integrated Wearables and Human Augmentation Products for High Risk Environments
lvlAlpha company logo
lvlAlpha
Next-Gen Integrated Wearables and Human Augmentation Products for High Risk Environments
FilterPixel company logo
FilterPixel
One Click To Select & Edit Photos In Your Style
MikeLegal company logo
MikeLegal
MikeLegal helps companies automate legal processes currently related to the IP process
Cars24 company logo
Cars24
Buy and Sell Pre-Owned Vehicles in India
Encord company logo
Encord
The platform for data-centric computer vision