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Spotter.Ai leverages artificial intelligence to detect and manage disruptions in the e-commerce supply chain and trucking industry, helping businesses optimize delivery performance and ensure customer satisfaction.
Employee count: 11-50
We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms.
You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries.
Design and implement backend services and APIs using Python + Django (and DRF or similar).
Model and evolve our domain in the database with clean, well-structured schemas and relationships.
Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules).
Write pragmatic, production-ready code that’s easy to reason about and iterate on.
Optimize for correctness and performance: efficient queries, smart indexing, and lean responses.
Work with the team to turn product ideas into concrete technical designs and endpoints.
Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow.
Strong experience building backend applications with Python + Django.
Solid understanding of relational data modeling and SQL (we use PostgreSQL).
Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks).
Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic).
Good instincts around performance: understanding query behavior, avoiding obvious pitfalls, and using caching when it counts.
A startup mindset: comfortable with ambiguity, moving fast, and iterating based on real-world feedback.
Ability to work independently in a remote environment and communicate clearly.
Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast.
Background in algorithms, optimization, or data-heavy systems.
Experience with Google Cloud Platform (GCP) in production.
Familiarity with Redis (caching, queues) and PostgreSQL at some scale.
Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP.
This role is a central piece of our backend roadmap, and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now.
Full Time
Open to candidates from all countries.
Learn more about Spotter Labs and their company culture.
Many businesses in the e-commerce and logistics sectors grapple with the daily challenge of ensuring their products reach customers on time and efficiently. Unforeseen disruptions, such as extreme weather events or sudden traffic congestion, can wreak havoc on finely tuned delivery schedules, leading to frustrated customers, increased operational costs, and damage to brand reputation. Planners struggle to maintain on-time delivery commitments with unpredictable variables, operations managers find it hard to optimize delivery sequencing, and dispatch teams are constantly firefighting to adapt to route disruptions. These challenges are precisely why Spotter.Ai was founded: to provide a proactive solution that empowers companies to navigate the complexities of modern supply chains.
Spotter.Ai offers an intelligent platform designed to protect customer satisfaction from the chaos of last-mile delivery. Our customers face a volatile environment where real-time information and predictive insights are paramount. We address this by leveraging cutting-edge artificial intelligence to detect potential disruptions early, allowing operations teams to respond proactively rather than reactively. The system monitors a multitude of external signals, including weather patterns, traffic conditions, and other critical events, to anticipate risks to delivery schedules. This enables intelligent adjustments to carrier selection, warehouse operations, and route planning. By integrating seamlessly with existing Transportation Management Systems (TMS) and Enterprise Resource Planning (ERP) systems, Spotter.Ai ensures rapid deployment and immediate value. Our focus is on empowering planners with predictive insights, helping operations managers optimize sequencing, and providing dispatch teams with intelligent alternatives to overcome disruptions. Ultimately, Spotter.Ai helps businesses deliver on every promise, cut transportation costs, turn dispatch into a competitive advantage, and scale their operations efficiently, making transportation smarter, safer, and more sustainable for everyone involved. We are committed to revolutionizing the trucking industry by enhancing efficiency and empowering trucking professionals through technology.
Learn about the tools and technologies that Spotter Labs uses to build, market, and sell its products.
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Learn about the employee benefits and perks provided at Spotter Labs.
Provides flexible working hours.
Offers fully remote work opportunities.
11-50 employees
2019
Explore the variety of open remote roles at Spotter Labs, offering flexible work options across multiple disciplines and skill levels.
Employee count: 11-50
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Cargobase is an independent logistics technology company that provides Software as a Service to bridge the tech gap between shippers and providers.
Large online marketplaces like Amazon have trained consumers to expect products delivered to their doorsteps within 1-2 days at no extra cost.
Supply chains are disconnected, fragmented, and in the stone age.
We aim to connect everything that moves your fleet. As your partner, we strive to understand your business, build a strong relationship, and provide the service and support you need. Because when you succeed, we succeed.
Shippeo is a global leader in real-time multimodal transportation visibility, helping major shippers and logistics service providers operate more resilient, sustainable, and customer-centric supply chains.
FourKites is a real-time supply chain visibility platform that helps freight brokers and shippers track shipments and manage exceptions. It utilizes AI and a vast data network to provide predictive insights and automate supply chain orchestration for global brands.
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