Weekday AI

Proactive software engineer recruitment via referrals

Testing

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

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.
Ability to work closely with product managers and influence product direction through technical insight.
Experience building and scaling teams, with a focus on mentoring and developing engineers.
Understanding of software engineering best practices, system design, and modern development stacks.
Ability to balance strategic thinking with hands-on problem-solving.
Ability to explain complex technical ideas to non-technical stakeholders.
A product mindset focused on delivering measurable value to users and the business.

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 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.
Communicate progress, risks, and trade-offs between technical teams and leadership.

Bharat testing

Weekday AI · Bengaluru, India · Full-time · Posted 2025-12-17

Workplace: on_site

Department: Weekday's Client via platform

Description

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.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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