About Us

The wholesale distribution industry is ready for a revolution, and Proton is leading the charge. The world relies on distributors to sell nearly every physical product, but despite its massive contribution to the global economy, this industry has been left behind in terms of technology. Proton is changing that. With AI-powered sales software, we’re breaking through the complexity of selling millions of products and making it easier for distributors to anticipate customer needs. Our mission is to bring the distribution industry into the modern age and the results speak for themselves. Distributors using Proton see 10x ROI, faster new hire ramp-up, and happier sales teams.

In 2022, we raised a $20M Series A backed by Felicis Ventures (investors in Twitch, Shopify, Opendoor, and many others) and Battery Ventures. This year, we’re laser-focused on driving customer growth. If you’re excited about the opportunity to wear multiple hats, and continuously learn and experiment, now’s the time to join the Proton team.

The Role

We're looking for a product-minded Senior Full Stack Engineer to join our AI Squad. In this role, you'll help define and ship end-to-end features that leverage our AI/ML capabilities to add value to our customers. As a Senior Full Stack Engineer in our AI Squad, you'll be responsible for developing and implementing features across our entire stack that enhance our CRM platform for distributors. You'll work closely with our users, product managers, and ML engineers to create robust, scalable solutions that integrate with our AI-driven features including recommendation systems, personalization, and insight generation. This role will report to an Engineering Manager.

The target salary range for this role is $60,000 - $90,000. Final offers will be based on your skills and previous experience. Proton collaborates with Oyster HR to hire international employees as full time (long term) contractors within our company.

This role will be fully remote and based in Latin America.

What you'll do

Design and implement full stack features that integrate with our AI/ML systems
Develop and maintain backend services in Python that support our AI-powered functionality
Adapt responsive and intuitive frontend interfaces that showcase our AI capabilities
Work with databases and design efficient data storage patterns for AI-related features
Collaborate with ML engineers to integrate their models into production systems
Ensure high performance, reliability, and scalability of the features you build
Participate in code reviews and contribute to engineering best practices

You'll be a great fit for this role if you have:

Strong full stack engineering skills: You have at least 5 years of experience as a software engineer with proven ability to work across the entire stack (frontend, backend, databases).
Database expertise: You're experienced with designing efficient data structures and storage patterns to support AI-powered features. This includes proficiency in SQL databases, and cloud data warehousing technologies like BigQuery. You understand how to optimize schemas, queries, and indexing for performance with large datasets, implement effective caching strategies, and design data pipelines that support ML workflows.
Delivered AI features: You have successfully shipped ML/AI features to production. You understand basic ML concepts and tooling, their purpose and practical implications. You won’t be expected to be a Data Scientist, but you should know enough that allows you to work and coordinate within a Data Science team.
Startup mindset: You're pragmatic, nimble, and have a good record of shipping features, iterating fast, and working closely with users and PMs
Strong software engineering skills: You have a proven track record of writing and deploying quality code at a senior level
Problem-solving skills: You enjoy tackling difficult problems and can understand and take action on complex ideas quickly
Independence: You take ownership of your work and thrive when given creative freedom. You like to experiment with new concepts and learn from mistakes
Agility: You can adapt to new and interesting challenges in a fast-paced startup environment
Team spirit: You recognize when you need support and are quick to support others when they need the same
Communication skills: You can explain complex technical concepts to non-technical stakeholders

Other skills that we value:

Prior startup experience is required
Interest in LLM tooling and APIs is a plus
Familiarity with GCP is a plus

Benefits

Competitive Salaries + Company Stock Options - we want to pay you well (and equitably!) and make you feel like an owner.
Flexible Schedule - we think high levels of autonomy, responsibility and working asynchronously foster an amazing workplace.
Unlimited PTO + 10 Company Paid Holidays - we even have tools implemented to detect burnout to make sure folks recharge regularly.
12 Weeks Fully Paid Parental Leave - that goes for primary and secondary caregivers; even if you’re adopting or fostering!
Biannual Company Paid off-sites - time for us to be together, brainstorm, and make magic happen.

Proton.ai participates in the E-Verify program: Notice of E-Verify Participation, Right to Work