Burq, Inc.

The AI/ML Engineer will design, train, and deploy machine learning models while collaborating with data engineers to build and maintain robust data pipelines. They will also implement MLOps best practices and work with cross-functional teams to integrate AI capabilities into user-facing features. | Candidates should have 3-6 years of experience in ML engineering or related roles, with hands-on experience in AWS services and proficiency in Python and ML frameworks. Familiarity with data engineering concepts and strong collaboration skills are also essential. | About Burq Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. It’s a big mission and now we want you to join us to make it even bigger! 🚀 We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe. We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career. Here’s a quick overview of what you will be doing: AI/ML Engineer We’re growing fast and are looking for a AI/ML Engineer to help scale our platform, and help drive innovation in logistics and AI/ML-powered automation. Design, train, and deploy machine learning models using AWS-native tools (SageMaker, Lambda, Step Functions, S3). Collaborate with data engineers to build and maintain robust data pipelines for feature ingestion, ETL, and model training. Fine-tune and optimize models for scalability, accuracy, and production readiness. Implement MLOps best practices including CI/CD pipelines, model versioning, monitoring, and automated retraining workflows. Monitor model performance, detect drift, and implement automated alerts and corrective actions. Work with cross-functional teams (product, software, infrastructure) to integrate AI capabilities into user-facing features. Share knowledge with the team through code reviews, documentation, and architecture discussions. Who You Are 3–6 years of professional experience in ML engineering, data science, or related roles. Hands-on experience with AWS services including SageMaker, Lambda, Step Functions, S3, and DynamoDB. Proficient in Python and ML frameworks such as TensorFlow. Proficient in Typescript and React to help bring AI/ML features into the product. Solid understanding of data engineering concepts: ETL, batch/streaming pipelines, and data validation. Familiar with containerization (Docker), CI/CD pipelines, and MLOps workflows. Self-starter who thrives with autonomy and can deliver results with minimal oversight. Strong collaboration and communication skills; comfortable explaining ML concepts to technical and non-technical stakeholders. Bonus: AWS ML certification or equivalent hands-on experience. Bonus: Experience with generative AI, LLMs, or advanced ML applications. Investing in you 🙏 Competitive Salary, Stock Options, and Performance-based Bonuses Fully Remote Comprehensive Medical, Vision and Dental Insurance At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Manage a large, diverse book of SMB accounts to ensure customer success with the platform. Drive customer retention and handle escalations while providing training and best practices. | 1–3 years of experience in Customer Success in the B2B SaaS space is required. Candidates should have proven experience managing SMB accounts and strong communication skills. | About Burq Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. It’s a big mission and now we want you to join us to make it even bigger! 🚀 We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe. We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career. The Role We’re looking for a Customer Success Manager focused on our SMB segment to help our growing customer base succeed with our platform. You’ll manage a large book of business, driving adoption, retention, and satisfaction while acting as the first line of defense for escalations. You’ll be a proactive problem solver who can enable customers to get the most out of our product—even when they hit bumps in the road. This role is perfect for someone who thrives in a fast-paced startup environment, knows how to juggle multiple accounts, and is passionate about building strong, lasting relationships. What You’ll Do Manage a large, diverse book of SMB accounts, ensuring each customer achieves their business goals using our platform. Drive customer retention and reduce churn through proactive outreach, regular check-ins, and value delivery. Handle customer escalations with urgency and empathy, working cross-functionally to find quick resolutions. Provide training, enablement, and best practice guidance to customers so they can maximize platform adoption. Serve as the voice of the customer internally, collaborating with Product, Engineering, and Support to improve features and processes. Track account health metrics and identify expansion or upsell opportunities. Develop account success plans for strategic customers within your book. Contribute to building scalable processes for SMB customer success as our team grows. 1–3 years of experience in Customer Success in the B2B SaaS space. Proven experience managing a large book of SMB accounts with varying needs. Previous startup experience—comfortable with ambiguity, change, and building from scratch. Strong understanding of customer retention strategies and handling escalations effectively. Excellent communication skills—able to explain complex solutions simply and clearly. Ability to build trust quickly and foster strong customer relationships. Organized, self-motivated, and able to manage competing priorities with minimal oversight. Familiarity with the last-mile delivery or logistics industry is a plus. Investing in you 🙏 Fully Remote Medical, Vision and Dental Insurance Reimbursement for educational courses At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.