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What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.


What you will do:
Design, develop, and maintain robust and scalable backend systems to support our Security's AI-driven security tools.
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines.
Optimize the performance and reliability of backend services, ensuring low latency and high availability.
Implement and manage APIs that facilitate seamless integration with external systems and internal components.
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards.
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.

Own the technical integrations that connect us with retailers systems, making sure data flows are smooth, secure, and ready for scale.

Responsibilities
Manage data integrations with POS, ERP, and other systems.
Define and document technical requirements for new onboardings.
Work with APIs, SFTP, and database connections.
Troubleshoot and resolve integration issues with engineering.
Collaborate with retailers IT teams during setup.

Were looking for a strong, experienced developer, someone who has built real systems, understands production, and takes ownership end to end.



In this role, you will:

Build and maintain backend services in Node.js at a production level
Develop modern frontend applications using React or Vue
Own features end-to-end from design to production
Work closely with product, data, and design teams
Improve performance, reliability, and code quality
Write clean, maintainable, production-grade code

As a Customer Support Specialist, you will play a vital role in ensuring our customers succeed with innovative products and services:



Serve as the primary point of contact for customers, managing inquiries via chat, email, WhatsApp, and phone.
Guide customers through the onboarding process and empower them to use products effectively.
Proactively engage with customers to identify their needs, resolve issues, and ensure their satisfaction.
Identify upselling opportunities and recommend tailored solutions to enhance customer value.
Collaborate closely with Product teams to ensure efficient resolution of customer issues.
Continuously monitor customer feedback and satisfaction metrics, contributing to ongoing improvements.

We are looking for a mid-level Data Engineer, experienced with building data pipelines using Python and Airflow for structured data and relational databases. The ideal candidate is a self-directed learner, takes ownership of the pipelines they build, and cares about data quality as much as feature delivery.





Key Responsibilities:

Own our data pipelines, including maintenance and adding new features.
Take charge of data integrity and completeness, including writing and maintaining tests.
Improve process efficiency and optimize runtime performance.
Own schema design and evolution across our data pipelines.

As a Product Manager at Limitless-Labs, you will lead the development of a one-of-a-kind AI Machining Agent, shaping a product at the intersection of AI, algorithms, and advanced manufacturing. You will deeply understand business goals and user needs in a complex, real-world environment, and work closely with AI, algorithms, and software teams to turn cutting-edge technology into a market-ready product.

This is an intensive and challenging role, where youll push the boundaries of whats possible alongside a top-tier, highly talented team. Youll combine strategic thinking with hands-on execution to deliver a best-in-class product that sets a new standard in the industry.

What Youll Do
Own the product vision and roadmap for our AI Machining Agent, from concept through launch and iteration.
Translate complex business, user, and manufacturing needs into clear product requirements and priorities.
Work hands-on with AI, algorithms, and software teams to define problems, design solutions, and deliver high-impact features.
Drive product discovery through user research, data analysis, and close collaboration with customers and internal stakeholders.
Make fast, high-quality decisions in a dynamic and ambiguous environment, balancing short-term execution with long-term strategy.
Define success metrics, track product performance, and continuously iterate to improve outcomes.
Act as the voice of the product, aligning engineering, leadership, and go-to-market teams around a shared vision.

We're looking for a Senior Algorithm Developer with a strong algorithmic background in both classical and deep learning methods.

What Youll Do
Develop, release and improve algorithms and models for recommending the best machining operations that balance customer valued KPIs such as machining time, machining tolerances and tool wear.
Dive deep into the CNC machining domain to cultivate intuition to inform your algorithm development decisions.
Collaborate with the Product team to discover and drive improvements in our human-AI interface.
Own your models in production. Validate your solutions against real-world machining scenarios and customer parts.
Research novel approaches to continuously improve our core technology.

We are looking for a Data Products Engineer to take full ownership of our internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.

Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.

How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

we are looking for a Data Operations Team Lead.
The Data Engagement team is the connective link between GTM and R&D/Product organizations. The team leads customer and prospect data initiatives using internal tools, and drives product improvements based on patterns and issues analysts identify in their day-to-day work.
What you'll do:
Own execution of the team's initiatives - ensuring efforts are properly resourced, tracked, and delivered within required timeframes.
Play a key role in prioritizing data resources across company-wide efforts, working closely with stakeholders across R&D, Product, Customer Success, and Sales.
Lead and develop a multidisciplinary team of highly skilled analysts.
Build strong partnerships with Product and CS leaders, acting as their trusted data advisor to help achieve shared business objectives.