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Weekday AI (YC W21) • Bengaluru, Karnataka, India
Role & seniority: Engineering Manager / Tech Lead, senior leadership responsible for ML-enabled products; hands-on with mentoring and cross-functional leadership.
Stack/tools: machine learning model lifecycle; production-grade systems; software engineering best practices; agile/sprint processes; interface with product, design, data, and analytics teams.
Lead, mentor, and grow a high-performing ML-enabled engineering team; set best practices and foster accountability.
Drive technical roadmap aligned with product vision, scalability, and long-term goals; oversee design, development, and deployment of models and infrastructure.
Collaborate with product managers to define requirements, success metrics, delivery timelines; ensure code quality, testing, documentation, and system reliability.
Proven Engineering Manager or Tech Lead experience with ownership of production-grade systems.
Strong ML concepts, model lifecycle management, and data-driven product development.
Ability to influence product direction, mentor engineers, and communicate with non-technical stakeholders.
Solid software engineering fundamentals, system design, and modern tech stack familiarity.
Excellent communication; capable of translating complex problems into actionable plans.
This role is for one of the Weekday's clients
JobType: full-time
In this role, you will own the end-to-end execution of machine learning-driven products, from ideation and experimentation to production deployment and continuous improvement. You will work closely with cross-functional stakeholders—including product, design, data, and business teams—to ensure that engineering solutions align with product goals and customer needs. As a leader, you will mentor engineers, set best practices, and foster a culture of innovation, accountability, and high performance. This role requires a strong balance of people management, hands-on technical depth, and product thinking.
Requirements
Key Responsibilities
Lead, mentor, and grow a high-performing engineering team focused on machine learning-enabled products Drive the technical roadmap in alignment with product vision, business priorities, and long-term scalability Oversee the design, development, and deployment of machine learning models and supporting infrastructure Partner closely with product managers to define requirements, success metrics, and delivery timelines Ensure high standards of software engineering, including code quality, testing, documentation, and system reliability Translate ambiguous business problems into clear technical solutions and execution plans Review architectures and designs to ensure performance, security, and scalability Establish and improve engineering processes, including agile practices, sprint planning, and delivery tracking Collaborate with data science and analytics teams to operationalize models and measure real-world impact Act as a bridge between technical teams and leadership, clearly communicating progress, risks, and trade-offs
What Makes You a Great Fit
Proven experience as an Engineering Manager or Tech Lead, with ownership of complex, production-grade systems Strong foundation in machine learning concepts, model lifecycle management, and data-driven product development Demonstrated ability to work closely with product managers and influence product direction through technical insight Experience building and scaling teams, with a passion for mentoring and developing engineers Solid understanding of software engineering best practices, system design, and modern development stacks Ability to balance strategic thinking with hands-on problem-solving when needed Comfortable operating in fast-paced environments with evolving requirements and high ownership Excellent communication skills, with the ability to explain complex technical ideas to non-technical stakeholders A product mindset—focused not just on building systems, but on delivering measurable value to users and the business Show more Show less