Full-Stack Product Engineer

Job not on LinkedIn

October 13

Apply Now
Logo of Proximity Works

Proximity Works

Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

📋 Description

• - Full-Stack Product Ownership: Design, build, and ship features end-to-end - from concept to deployment - ensuring smooth, performant, and polished user experiences. • - Frontend & UX Craft: Implement high-quality, responsive, and performant interfaces. Own details like animations, progress indicators, and state management for media-heavy workflows. • - Backend & Infrastructure: Build robust APIs, real-time features, and integrations with ML pipelines. Ensure reliability, scalability, and maintainability. • - Media & Streaming Systems: Develop performant video workflows, upload/processing flows, streaming, and playback experiences with real-time progress tracking. • - AI/ML Integration: Collaborate with MLOps engineers to integrate and productionize ML features, handling data flows, inference endpoints, and user-facing AI interactions. • - DevOps & CI/CD: Manage efficient deployments using modern cloud tooling (preferably GCP) and maintain CI/CD pipelines for rapid iteration. • - Product Thinking & Iteration: Drive decisions grounded in user feedback and metrics. Balance trade-offs between polish, speed, and scalability. • - Collaboration & Initiative: Work closely with designers and specialists, proactively proposing improvements and solutions rather than just surfacing blockers.

🎯 Requirements

• - Experience: Proven record of shipping live products (preferably 4+ years in product-focused engineering). • - Portfolio Evidence: Links to real products, public launches, or active projects (Product Hunt, GitHub, App Store, live demos). • - Full-Stack Skills: Proficient in modern frontend frameworks (Next.js, Firebase Storage SDK, React Query) and backend environments (NestJS, TypeORM, PostgreSQL). • - Media/Video Expertise: Experience with streaming, video processing, encoding, or real-time rendering systems. • - Cloud & CI/CD: Familiar with GCP, containerized deployments (Docker/Kubernetes), and automated pipelines. • - AI/ML Exposure: Comfortable integrating ML models or AI APIs into production features. • - Execution Mindset: Bias toward action, accountability, and high ownership of outcomes. • - Product Sense: Demonstrated ability to think from a user’s perspective — balancing technical feasibility with product value.

🏖️ Benefits

• - Best in class salary: We hire only the best, and we pay accordingly. • - Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. • - Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

Apply Now

Similar Jobs

October 11

Full Stack Engineer focusing on front-end experience in remote product development for a global team. Building responsive interfaces and resolving technical issues with collaborative support.

AWS

Cloud

Python

React

React Native

TypeScript

October 10

Sr. Staff Engineer responsible for cloud platforms at NextGen Healthcare. Mentoring teams and influencing technical direction in a fully remote role.

AWS

Cloud

Kubernetes

Terraform

October 10

Salesforce Developer with expertise in Salesforce CPQ and Copado. Collaborating on scalable solutions in a remote environment with a focus on mentorship and innovation.

SOAP

Visualforce

October 9

Weave

2 - 10

Backend Engineer designing and delivering scalable backend systems for Weave's Analytics platform. Collaborating cross-functionally and mentoring junior engineers in a remote environment.

Airflow

Distributed Systems

GRPC

Java

Kafka

Microservices

Python

Redis

Ruby

SQL

Go

October 8

Senior Software Engineer specializing in Big Data and Generative AI at Veltris. Leading product innovation while mentoring junior engineers in a collaborative environment.

AWS

Azure

Cloud

Distributed Systems

Google Cloud Platform

Kafka

PySpark

SDLC

Spark

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com