Manager, Engineering

Slintel; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Slintel is seeking a senior software engineering leader in Bengaluru to drive sprint delivery for 6-12 engineers. You will align AI-assisted workflows with product goals, keep Jira and ProductBoard current, and own risk management and release readiness. Your background spans platform/API/infrastructure with strong coding fundamentals in Python/Java.

You will coach teams, refine specs as contracts, and shape cross-team decisions across time zones while prioritizing reliability and growth.

Qualifications

• 10+ years in software engineering, including 2+ years managing teams of 5+.
• BS/MS in Computer Science, Software Engineering, or a related field.
• Experience with AI-assisted engineering workflows and evaluating AI output.
• Background in platform, API, data, or infrastructure engineering.
• Fluent with JIRA and ProductBoard or equivalent.
• Strong fundamentals in data structures, design patterns, and OOP.
• Proficient in Python or Java; able to participate in design discussions.
• Experience with distributed systems, data pipelines, or APIs.

Responsibilities

• Lead sprint delivery for a team of 6-12 engineers: planning, dependencies, risks, release readiness.
• Coordinate work sequencing across people and AI-assisted workflows; manage backlog and priorities.
• Keep JIRA, ProductBoard, and dependency tracker up-to-date; avoid stale tickets.
• Track cycle time and escaped defects; own trend analysis and reporting.
• Review code and AI output to ensure alignment with the right problem and clear specs.
• Define what requires human sign-off vs automated checks; write contract-like specs.
• Contribute to architecture decisions and incident response planning.
• Lead cross-functional collaboration and coaching; set expectations and growth plans.

Skills

Team leadership

Cross-functional collaboration

AI-assisted workflows

Stakeholder communication

Risk & dependency management

Education

BS/MS in CS or related field

Tools

JIRA

ProductBoard

Python

Java

Job description

What You\'ll Do

• Lead sprint delivery for a team of 6-12 engineers: planning, dependencies, risks, release readiness.
• Think about how work gets sequenced across people and AI-assisted workflows, not just story points.
• Keep JIRA, ProductBoard, and the dependency tracker current. No stale tickets, no surprises at SoS.
• Track cycle time and escaped defects; own the trend, not just the number.

Technical

• Review code and AI-generated output for whether it solves the right problem. Clean tests aren\'t enough.
• Define what needs human sign-off, what can be spot-checked, and what warrants a second pass.
• Write specs that work as contracts: clear scope, explicit constraints, stated boundaries.
• Stay close to architecture decisions, tech debt, and incident response.
• Contribute to software architecture decisions and patent writing for innovative work.

People

• Run 1:1s that are about growth, not sprint status.
• Coach engineers on when to trust AI output and when to push back. Model it explicitly, not just in retrospect.
• Give clear, timely feedback; build real development plans; address performance early.
• Help your team see that directing AI well is a skill worth building, not just a tool to adopt.
• Calibrate hiring panels, provide written feedback, contribute to calibration discussions.

Cross-functional & Culture

• Be the PM partner who holds a definition-of-ready and surfaces risks before they land in a leadership meeting.
• Engage escalations directly; produce RCAs; own P1/P2 support SLAs.
• Set the tone on your team: accountability, directness, recognition of others\' work.
• Watch for workload and wellbeing signals before they become problems.
• Lead by influence across teams and functions; comfortable driving cross-team technical decisions without direct authority.

What Were Looking For

Experience

• 10+ years in software engineering, including 2+ years managing teams of 5 or more.
• BS/MS in Computer Science, Software Engineering, or a related field.
• Enough architectural depth to evaluate tradeoffs, including in AI-assisted output.
• Background in platform, API, data, or infrastructure engineering.
• Comfortable in a PM/Design pod environment; fluent with JIRA and ProductBoard or equivalent.
• Strong fundamentals in data structures, design patterns, and object-oriented programming.
• Proficient in Python or Java; enough depth to engage meaningfully in code review and design conversations.
• Strong enough in distributed systems, data pipelines, or APIs

What Sets You Apart

• You've run a platform or infrastructure team where other engineers are your customers.
• You've coached an IC through a meaningful promotion and can say concretely what that looked like.
• You've worked with AI-assisted engineering workflows and have a practical approach to reviewing output, not just a philosophy about it.
• You've collaborated across time-zones and know how to make it work.
• You can adopt a framework before its perfect.