Drivetrain

Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably. Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms. Drivetrain provides a great culture for its employees to thrive in and be happy. 💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people. 🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge. 👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win. 👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is. About The Role We are seeking highly motivated Computer Science engineering interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our FP&A (Financial Planning & Analysis) platform. This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation. Key Responsibilities Develop & Experiment: Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs for FP&A use cases. Collaborate: Work closely with product and engineering teams to integrate AI-driven features into the platform. Optimize: Apply strong computer science fundamentals to design efficient algorithms, data structures, and scalable systems. Document & Present: Clearly document your work, build workflow diagrams, and present results to the team. Showcase: Complete and demonstrate end-to-end projects that highlight your technical and problem-solving skills. Qualifications Academic Background: Currently pursuing or recently completed a degree in Computer Science or a related field. Technical Skills: Strong understanding of DSA (Data Structures & Algorithms), system design, and problem-solving. AI/ML Exposure: Familiarity with concepts such as RAG, Agentic AI, and LLMs. Completion of relevant projects is preferred. Practical Experience: Demonstrated ability to build and showcase end-to-end projects in AI/ML or related fields. Communication: Excellent verbal and written communication skills. Preferred Project Portfolio: Evidence of completed projects involving Gen AI, RAG, or agentic workflows. Hands-on Skills: Experience with modern AI frameworks, cloud platforms, and API integration. Why Drivetrain.ai? Real-World Impact: Work on cutting-edge Gen AI projects for enterprise automation. Mentorship: Learn from industry experts and collaborate with a passionate team. Flexibility: Remote or hybrid options available to suit your schedule. Apply now and help shape the future of intelligent FP&A! Candidates with a strong project portfolio and solid computer science fundamentals are encouraged to apply. Sounds exciting? Apply at careers@drivetrain.ai . It may just be the next best decision you’ve ever made! Show more Show less

Drivetrain is seeking a dynamic and experienced Program Manager to join our team. This role will focus on managing customer-related activities for our product implementation team and will be part of the CEOs office. The Program Manager will also take on various Chief of Staff responsibilities, interfacing with global customers, and owning customer success metrics. Key Responsibilities Customer Engagement: Serve as the primary point of contact for global customers during product implementation, ensuring their needs are met and expectations exceeded. Project Management: Lead cross-functional teams to deliver successful implementation projects on time and within budget while maintaining high-quality standards. Metrics Ownership: Develop, track, and report on customer success metrics, using data to drive improvements in service delivery and client satisfaction. Strategic Planning: Collaborate with the CEO and other executives to define strategic initiatives that enhance customer experience and align with business objectives. Stakeholder Communication: Maintain clear communication with internal teams and external stakeholders, providing regular updates on project status and addressing any concerns promptly. Process Improvement : Identify opportunities for process enhancements within the implementation workflow to streamline operations and improve efficiency. Risk Management: Proactively identify potential risks associated with customer projects and develop mitigation strategies to ensure successful outcomes. Team Collaboration: Foster a collaborative environment across departments, including sales, engineering, and support teams, to ensure alignment on customer objectives. Experience: 1-3 years in program or project management roles, preferably in a SaaS or technology-driven environment. Skills: Proven track record of managing complex projects with multiple stakeholders. Strong analytical skills with the ability to interpret data and make data-driven decisions. Excellent communication and interpersonal skills to effectively engage with diverse teams and clients. Familiarity with Agile methodologies is a plus. Ability to work in a fast-paced environment while managing competing priorities.