Candidates with AI engineering management experience and Python/cloud-native expertise will find this leadership role in a global, distributed team setting.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from FloQast via Lever
As an AI Engineering Manager on our Core AI team in India, you will be a cornerstone of FloQast's AI transformation and a key leader in our growing global engineering organization. You will manage and scale a team of high-performing software and AI engineers responsible for architecting and deploying production AI systems—powering our accounting automation platform and bringing our vision of an AI accountant teammate to life.
This role requires a balance between people leadership, operational excellence, and technical leadership in modern AI paradigms. You will partner with global engineering leadership, product management, and architecture teams to establish technical standards for agentic workflows, model context protocols (MCP), retrieval-augmented generation (RAG), and LLMOps across FloQast. Reporting to the VP of Engineering, you will play a critical role in expanding FloQast’s AI footprint by recruiting, mentoring, and developing top-tier engineering talent in India.
What You'll Be Doing:
Team Leadership & Development: Lead, manage, mentor, and develop teams of AI software engineers. Grow your team members’ career paths through consistent coaching, performance management, and continuous feedback.
AI Technical Direction & Delivery: Guide your team in the architecture and delivery of scalable production AI products, including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks.
Recruiting & Site Growth: Actively recruit, interview, and retain top-tier AI engineering talent to build out FloQast's Core AI capabilities in India.
Global Collaboration: Collaborate effectively with product managers, QA, architecture, security, and global engineering leaders to design and implement our centralized AI platform (model routing, provider management, vector search).
Process & Culture: Cultivate an engineering culture of innovative, egoless, high-trust problem solving. Champion lean software development, Agile principles, and robust LLMOps/DevOps practices for AI systems.
Production Excellence: Ensure your team builds robust, compliant, and observable AI products that integrate seamlessly with diverse technologies (accounting systems, external APIs) in a B2B SaaS environment.
What You'll Bring:
5+ years of software engineering management experience, with a track record of leading teams to deliver complex backend or AI products to a paying customer base.
5+ years of experience as an individual contributor as a software engineer, with a strong background in Python, backend development, and cloud-native environments (AWS preferred).
Production AI Experience: Familiarity with LLM APIs, retrieval-augmented generation (RAG), conversational AI, and scalable system design for AI products.
Distributed Team Leadership: Proven experience leading and managing teams that are geographically distributed, driving alignment across time zones.
Recruiting & Mentorship: Hands-on experience recruiting and interviewing engineering personnel, alongside a strong track record of managing individuals' performance and career growth.
Agile & Delivery Mastery: 5+ years working on teams using Agile methodologies (Scrum, Kanban) with a strong commitment to automated testing, CI/CD, and DevOps practices.
Communication & Alignment: Strong ability to communicate complex system designs and AI strategies to both technical and business stakeholders.
Nice To Haves:
Experience managing managers of software engineering teams.
Hands-on experience with advanced RAG architectures, reranking systems, semantic search systems, or AI observability/monitoring tools.
Experience working on B2B SaaS products, particularly in the financial or accounting space.
Familiarity with our broader web stack (MongoDB, Express, React, and Node) to facilitate seamless integration between AI services and core applications.
Knowledge of model context protocols (MCP) or reinforcement learning techniques (RLHF).
FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale.
Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:
Unwaveringly Authentic
Ambitious with Integrity
Empowered to Grow
Committed to Collaboration
Customer Obsessed in All Ways
By applying for this position, you acknowledge and consent to FloQast’s collection, use, processing, and storage of your personal information and application materials in accordance with our privacy policy and applicable law, including, but not limited to, your resume, cover letter, contact information, employment history, references, and any other details or information provided during the application and interview process. Your information may be shared with hiring managers, HR personnel, and other employees involved in the hiring process, as well as authorized third-party service providers who assist with our hiring process. You have the right to access, correct or request the deletion of your personal information at any time. To exercise these rights, or for other questions related to our data practices, please contact us at recruiting@floqast.com. Your consent is voluntary, but please note that providing this consent is necessary for us to process your application and consider you for employment opportunities. For more details, please see our privacy policy at https://www.floqast.com/legal/privacy-policy.
FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees.
Source: FloQast careers (Lever)