Engineering Manager

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more, visit partech.com or connect with us on LinkedIn, X (formerly Twitter), Facebook, and Instagram. We are looking for an experienced and hands-on Engineering Manager to lead a high-performing, cross-functional development team at Punchh (a PAR company). You will play a critical role in building new cloud-based products and improving core systems aligned with our platform strategy. Position Location: Jaipur/Gurugram Reports To: Senior Director / Engineering Leadership Team What We’re Looking For Bachelor’s degree in Computer Science or a related technical field 12+ years of total experience in Software Development 2+ years of proven engineering management experience Strong coding background in Python, Java, C#, Golang, or Ruby on Rails Deep hands-on experience with cloud technologies, DevOps, and NoSQL Proficient in design patterns, data structures, and Test Driven Development (TDD) Experience building scalable microservices, web services, and distributed systems Strong verbal and written communication skills Experience managing a team of 10+ engineers With a Side Of (Additional Skills) Technical leadership and team-building capabilities Familiarity with agile methodologies and rotating on-call ownership Experience conducting code reviews, architecture reviews, and performance feedback Ability to collaborate on roadmaps with Product, Architecture, and Tech Leads Passion for coaching, mentoring, and grooming future engineering leaders Exposure to AI/ML-driven product features such as recommendations, personalization, forecasting, search, or automation Experience collaborating with Data Science, ML Engineers, and Product Managers on AI-powered use cases Familiarity with LLM-based systems, including prompt engineering concepts, embeddings, vector databases, and retrieval-augmented generation (RAG) Understanding of data pipelines, feature stores, and data quality considerations for ML systems Experience integrating AI services using frameworks or platforms such as OpenAI APIs, AWS Bedrock, Azure OpenAI, Vertex AI, or similar Awareness of AI ethics, bias, privacy, and responsible AI practices in production systems Unleash Your Potential: What You Will Be Doing and Owning: Provide technical leadership on major projects and critical product development Build and lead an engineering team of 10–15 engineers Mentor engineers and help drive their career development and growth Contribute to the codebase early on, as the team scales Establish and enforce best practices for code quality and system design Own and operate your team’s services, employing DevOps practices Maintain balance between building new features and managing tech debt Act as an ambassador for the Punchh culture and help recruit top talent Be part of the broader Engineering Leadership Team and help shape organizational growth Provide technical leadership in building and scaling AI-assisted product capabilities within a SaaS platform Guide the team in architecting AI-ready microservices, including inference APIs, async processing, and observability Partner with Product and Data teams to translate business problems into AI-driven solutions Establish best practices for model deployment, monitoring, and performance optimization Balance rapid experimentation with production-grade reliability for AI features Drive adoption of AI-powered developer productivity tools (coding assistants, testing automation, observability insights) Nice To Have / Bonus Skills (Optional Section) Familiarity with MLOps concepts: CI/CD for models, model versioning, drift detection, A/B testing Hands-on exposure to vector databases (Pinecone, Weaviate, FAISS, OpenSearch) Experience leveraging AI for internal efficiency (support automation, analytics insights, campaign optimization) Prior work in data-heavy SaaS domains such as MarTech, FinTech, Retail Tech, or Enterprise SaaS Interview Process Interview #1: Phone Screen with Talent Acquisition Team Interview #2: Video interview with the Technical Teams (via MS Teams/F2F) Interview #3: Video interview with the Technical Teams (via MS Teams/F2F) Interview #4: Video interview with the Hiring Manager (via MS Teams/F2F) PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application, pre-employment testing, a job interview or to otherwise participate in the hiring process, or for your role at PAR, please contact accommodations@partech.com. If you’d like more information about your EEO rights as an applicant, please visit the US Department of Labor's website. Show more