Engineering Manager for a leading BNPL Player

Strong Engineering Manager / Lead Profiles

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Mandatory (Experience 1) – Must have minimum 8+ years of overall Software Engineering / Development experience with a strong IC foundation.

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Mandatory (Experience 2) – Must have 2+ years of formal Engineering Manager experience with direct people-management responsibility (informal Senior Engineer / Tech Lead experience managing a team does not count)

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Mandatory (Experience 3) – Must have directly managed 4–6+ engineers, including 1:1s, performance management, growth plans, promotions, mentoring, and team development.

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Mandatory (Experience 4) – Must own technical direction and delivery for an engineering team/pod, including architecture, system design, code/PR reviews, execution planning, and engineering quality.

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Mandatory (Experience 5) – Must have strong backend/software engineering experience with hands-on technical depth in building APIs, services, integrations, and scalable systems; specific language/framework can vary.

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Mandatory (Experience 6) – Must have experience owning production operations, including on-call, incident management, debugging, and postmortems for their area.

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Mandatory (Experience 7) – Must have experience driving cross-functional alignment with Product and Design and translating ambiguous business/product requirements into scalable technical solutions.

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Mandatory (Company) – Must be from a Product Company / Startup, particularly B2B SaaS, Fintech, Payments, or similar technology product environments. (Refer Target Company List)

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Mandatory (Role Fit) – Role is 80% people/team management and 20% technical/IC involvement;

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Preferred (Education) - Tier 1 engineering college

Technical Project Manager.

Run delivery for 15–25 backend, frontend, and AI engineers building construction

tech and CAD drawing-automation software — with structural engineers on one

side of you and the codebase on the other.

FULL-TIME

MANAGER · 7+ YRS

Engineering — Delivery & Program Management

TEAM YOU’LL RUN

15–25 engineers · Backend · Frontend · AI

LOCATION

India

EXPERIENCE

6–7 yrs min · 4+ yrs managing engineers

WORK MODE 

Hybrid

DOMAIN

ENGAGEMENT

AEC · CAD / BIM automation · Multi-tenant SaaS

About BuildTwin

BuildTwin is a multi-tenant SaaS platform that runs the day-to-day operations of construction

and infrastructure companies — their workforce, projects, commercials, and documents — on a

single system. Alongside it we build an AI drawing-automation platform that turns structured

element data into production-ready technical drawings and exports them to PDF and DXF.

Both products are built by a small, senior engineering group in India: backend engineers on an

AWS serverless platform, frontend engineers on Angular and React, and AI engineers working

on drawing generation and data extraction. Sitting next to them — not in another building, not

in another timezone — are the structural and detailing engineers who define what a correct

drawing actually is.

That adjacency is our biggest advantage and our hardest coordination problem. This role exists

to make it work.

 Role overview

We are hiring one Technical Project Manager to own delivery across our engineering teams in

Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and

you will be the person who turns requirements originating with our structural and detailing

engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards

across it. You will sit in the design discussion and have a view on how and when — you will

push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write

production code. You are expected to read it, understand the system, and never be the least

informed person in a technical conversation you are chairing.

The centre of gravity of this job is the floor, not the calendar. Most of your day is

spent with the people building and the people specifying — closing the gap between what a

domain expert means and what an engineer can implement deterministically. Status

reporting is a by-product of doing that well, not the job itself.

What you’ll own.

 Delivery ownership

Own the end-to-end delivery plan for every active workstream — scope, sequence,

dependencies, capacity, and dates that actually hold.

Break large, ambiguous product intent into engineering-sized increments with explicit

acceptance criteria, agreed with the people who will build them.

Run the operating cadence: planning, standups, refinement, demos, and retrospectives that

change something the following week.

Maintain one honest view of status — on track, at risk, slipped, and why — visible to the

founders and to the team at the same time.

Manage cross-team dependencies between backend, frontend, AI, and drawing-automation

workstreams so no team idles waiting on another.

Surface risk early, quantify it, and arrive with options — never an escalation without a

proposal.

Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not

now when a plan cannot take more.

Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post

release verification included.

Own and improve the delivery metrics that matter: cycle time, predictability of committed

scope, defect escape rate, and rework.

Run the release calendar across two products so neither becomes the permanent second

priority.

Technical partnership

Participate substantively in technical discussions on design, sequencing, and trade-offs —

and hold your own with senior engineers.

Understand the architecture well enough to reason about blast radius: what a schema

change touches, why a migration is risky, why an API contract must be agreed before two

teams start.

Challenge estimates that look wrong in either direction, and recognise when an estimate is

uncertain because the problem is still unclear.

Translate technical constraints into decisions leadership can act on, and business constraints

into direction engineers can act on.

Keep testing, observability, and debt-reduction work on the plan instead of losing to features

every single quarter.

Insist that decisions get written down — architecture choices, drawing rules, API contracts,

and the reasoning behind each.

Stay close to the artefacts: read the tickets, the design docs, the PR titles, and the incident

write-ups.

Chair technical discussions where the outcome is a decision with an owner and a date, not a

longer discussion.

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.

Key Responsibilities:

Team Leadership and Management:

• Lead, mentor, and manage a team of backend developers, fostering a culture of collaboration, innovation, and technical excellence.
• Promote a shared vision for the team, ensuring alignment with business goals and organizational objectives.
• Conduct performance reviews, provide constructive feedback, and create opportunities for team members’ professional growth.
• Drive cross-functional collaboration between development teams, designers, and product managers to deliver seamless and high-quality software.

Technical Strategy and Execution:

• Define and drive architectural decisions for both backend and frontend systems,ensuring scalability, reliability, and performance.
• Advocate and implement best practices in software development, including coding standards, test-driven development (TDD), and peer code reviews.
• Encourage the adoption of Large Language Models (LLMs) and AI-driven tools to optimize development and testing workflows.
• Provide technical direction on backend development using modern frameworks and languages, as well as frontend development using React, Angular, or Svelte.

Process and Quality Management:

• Ensure robust integration between backend APIs and frontend systems for seamless user experiences.
• Establish and enforce coding, testing, and deployment standards for both backend and frontend teams.
• Implement and optimize automated testing frameworks for backend and UI layers to ensure comprehensive coverage.
• Monitor system performance and application stability, proactively identifying and mitigating risks.
• Establish CI/CD pipelines and DevOps best practices for efficient and reliable delivery cycles.

Stakeholder Collaboration:

• Act as a bridge between engineering teams, business stakeholders, and leadership, ensuring effective communication and alignment.
• Translate complex business requirements into actionable technical solutions and guide teams through their implementation.
• Provide regular updates on progress, challenges, and innovations to stakeholders.

Innovation and Exploration:

• Stay updated on advancements in Large Language Models (LLMs) and integrate them into development and quality assurance workflows where applicable.
• Encourage the exploration of cutting-edge technologies, tools, and frameworks for both backend and frontend development.
• Champion the use of AI and machine learning tools for performance optimization, automated testing, and enhanced developer productivity.

Skills & Qualifications:

Must-Have Skills:

• Proven experience as an Engineering Manager or similar leadership role.
• Strong technical background in backend technologies (e.g., Java, Spring Framework).
• Deep understanding of RESTful API design, microservices architecture.
• Hands-on experience with containerization and orchestration tools like Docker.
• Solid knowledge of Agile methodologies, TDD, and CI/CD pipelines.
• Excellent leadership, communication, and problem-solving skills.
• Expertise in integrating Large Language Models (LLMs) and AI-powered tools into development workflows.

Nice-to-Have Skills:

• Experience with cloud platforms like AWS, GCP, or Azure.
• Knowledge of automated testing frameworks for both backend (e.g., JUnit, Postman) and frontend (e.g., Playwright).
• Understanding of DevOps practices and infrastructure-as-code tools like Terraform.
• Exposure to AI/ML frameworks and libraries for enhancing application features and team efficiency.

ROLE SUMMARY:

In this role, you will be responsible for supporting people, technical processes, and engineering execution to ensure projects are delivered as per scope, budget, and timelines.

This role includes developing detailed project plans and comprehensive technical documentation, managing project Engineers and their availability, measuring engineering performance, tracking progress, and communicating project status to clients and internal stakeholders. You will work directly with Solutions Architects, Tech Leads, and Engineering teams to evaluate technical trade-offs, drive system design feasibility, and unblock engineering bottlenecks.

You will be a reliable and crucial team member who can anticipate client needs and translate complex technical requirements into actionable project milestones.

As a Technical Project Manager, you will be the point of contact for all stakeholders from initiation to closure and will be responsible for leading the technical delivery team to achieve project objectives. You will work towards balancing technical constraints, technical debt, and Engineer availability on the project. You will report project status to client and internal stakeholders, escalate technical and operational issues as needed, and perform risk management to identify and mitigate architectural and delivery risks while maintaining strong advocacy within your spheres of influence.

QUALIFICATIONS:

Technical Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience and a prior background as a Software Engineer, Tech Lead, or Developer.

Strong expertise in Agile methodologies (Scrum/Kanban).

Must have handled end-to-end SDLC projects as a Technical Project Manager or Scrum Master.

WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

Handle a portfolio of technical projects and clients in parallel and across geographies.

Develop an execution plan for projects, release schedules, CI/CD milestones, and team allocation.

Partner with technical leads to review high-level system designs, break down complex requirements into epics and user stories, and challenge technical estimates effectively.

Maintain strong relationships with product delivery, engineering leads, sales teams, clients, and account managers.

Expertise in project estimation, planning, tracking, scope control, technical risk and issues management, as well as engineering status reporting.

GOOD TO HAVE:

Hands-on or architecture exposure to.NET/Java/AWS/Azure or microservices architectures.

PMP / PMI-ACP / CSM (Certified ScrumMaster) certification.

Jira/Confluence project management tools expertise, Git workflows, and strong working knowledge of Microsoft Office.

COMPETENCIES:

Strong commitment to professional client service and engineering excellence.

Excellent communication (written, verbal, and presentation), persuasive, and negotiating skills—with the ability to bridge technical and non-technical stakeholders.

Encourage, motivate, and mentor team members on agile practices and technical ownership.

Proactive can-do and technical problem-solving approach to the job.

Regards