Head of Engineering/Senior Product Manager at Digital transformation excellence provider · Mumbai · 12 - 20 years · ₹30L - ₹40L / yr · Posted 15 Feb 2026

Head of Engineering/Senior Product Manager
at Digital transformation excellence provider
JOB DETAILS:
* Job Title: Head of Engineering/Senior Product Manager
* Industry: Digital transformation excellence provider
* Salary: Best in Industry
* Experience: 12-20 years
* Location: Mumbai
Job Description
Role Overview
The VP / Head of Technology will lead company’s technology function across engineering, product development, cloud infrastructure, security, and AI-led initiatives. This role focuses on delivering scalable, high-quality technology solutions across company’s core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services.
This leader will drive execution, ensure technical excellence, modernize platforms, and collaborate closely with business and delivery teams.
Roles and Responsibilities:
Technology Execution & Architecture Leadership
· Own and execute the technology roadmap aligned with business goals.
· Build and maintain scalable architecture supporting multiple verticals.
· Enforce engineering best practices, code quality, performance, and security.
· Lead platform modernization including microservices, cloud-native architecture, API-first systems, and integration frameworks.
Product & Engineering Delivery
· Manage multi-product engineering teams across eCommerce platforms, procurement systems, ERP integrations, analytics, and ESG solutions.
· Own the full SDLC — requirements, design, development, testing, deployment, support.
· Implement Agile, DevOps, CI/CD for faster releases and improved reliability.
· Oversee product/platform interoperability across all company systems.
Vertical-Specific Technology Leadership
Procurement Tech:
· Lead architecture and enhancements of procurement and indirect spend platforms.
· Ensure interoperability with SAP Ariba, Coupa, Oracle, MS Dynamics, etc.
eCommerce:
· Drive development of scalable B2B/B2C commerce platforms, headless commerce, marketplace integrations, and personalization capabilities.
Sustainability/ESG:
· Support development of GHG tracking, reporting systems, and sustainability analytics platforms.
Business Services:
· Enhance operational platforms with automation, workflow management, dashboards, and AI-driven efficiency tools.
Data, Cloud, Security & Infrastructure
· Own cloud infrastructure strategy (Azure/AWS/GCP).
· Ensure adherence to compliance standards (SOC2, ISO 27001, GDPR).
· Lead cybersecurity policies, monitoring, threat detection, and recovery planning.
· Drive observability, cost optimization, and system scalability.
AI, Automation & Innovation
· Integrate AI/ML, analytics, and automation into product platforms and service delivery.
· Build frameworks for workflow automation, supplier analytics, personalization, and operational efficiency.
· Lead R&D for emerging tech aligned to business needs.
Leadership & Team Management
· Lead and mentor engineering managers, architects, developers, QA, and DevOps.
· Drive a culture of ownership, innovation, continuous learning, and performance accountability.
· Build capability development frameworks and internal talent pipelines.
Stakeholder Collaboration
· Partner with Sales, Delivery, Product, and Business Teams to align technology outcomes with customer needs.
· Ensure transparent reporting on project status, risks, and technology KPIs.
· Manage vendor relationships, technology partnerships, and external consultants.
Education, Training, Skills, and Experience Requirements:
Experience & Background
· 16+ years in technology execution roles, including 5–7 years in senior leadership.
· Strong background in multi-product engineering for B2B platforms or enterprise systems.
· Proven delivery experience across: eCommerce, ERP integrations, procurement platforms, ESG solutions, and automation.
Technical Skills
· Expertise in cloud platforms (Azure/AWS/GCP), microservices architecture, API frameworks.
· Strong grasp of procurement tech, ERP integrations, eCommerce platforms, and enterprise-scale systems.
· Hands-on exposure to AI/ML, automation tools, data engineering, and analytics stacks.
· Strong understanding of security, compliance, scalability, performance engineering.
Leadership Competencies
· Execution-focused technology leadership.
· Strong communication and stakeholder management skills.
· Ability to lead distributed teams, manage complexity, and drive measurable outcomes.
· Innovation mindset with practical implementation capability.
Education
· Bachelor’s or Master’s in Computer Science/Engineering or equivalent.
· Additional leadership education (MBA or similar) is a plus, not mandatory.
Travel Requirements
· Occasional travel for client meetings, technology reviews, or global delivery coordination.
Must-Haves
· 10+ years of technology experience, with with at least 6 years leading large (50-100+) multi product engineering teams.
· Must have worked on B2B Platforms. Experience in Procurement Tech or Supply Chain
· Min. 10+ Years of Expertise in Cloud-Native Architecture, Expert-level design in Azure, AWS, or GCP using Microservices, Kubernetes (K8s), and Docker.
· Min. 8+ Years of Expertise in Modern Engineering Practices, Advanced DevOps, CI/CD pipelines, and automated testing frameworks (Selenium, Cypress, etc.).
· Hands-on leadership experience in Security & Compliance.
· Min. 3+ Years of Expertise in AI & Data Engineering, Practical implementation of LLMs, Predictive Analytics, or AI-driven automation
· Strong technology execution leadership, with ownership of end-to-end technology roadmaps aligned to business outcomes.
· Min. 6+ Years of Expertise in B2B eCommerce Logic Architecture of Headless Commerce, marketplace integrations, and complex B2B catalog management.
· Strong product management exposure
· Proven experience in leading end-to-end team operations
· Relevant experience in product-driven organizations or platforms
· Strong Subject Matter Expertise (SME)
Education: - Master degree.
**************
Joining time / Notice Period: Immediate - 45days.
Location: - Andheri,
5 days working (3 - 2 days’ work from office)

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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.
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- Extensive cloud-native engineering experience with Azure, AWS and GCP.
Technical expertise
- Strong full-stack engineering background (Java, Python, JavaScript frameworks).
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- 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.
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Celeco Labs is hiring a hands-on Head of Engineering on behalf of a confidential client in the housing-finance sector.
This is a role for an engineer who wants to own delivery, not only manage it. You will set the technical direction, build and maintain production systems, and work closely with the business team. You should be comfortable taking a requirement from the first discussion through technical planning, implementation, release, and production support.
What you will do
• Own the engineering roadmap and help decide what should be built first.
• Design, build, and maintain reliable customer-facing products and internal systems.
• Write production code and review code written by others.
• Turn business requirements into clear technical plans and releases.
• Choose practical architecture, tools, and vendors that fit the company's needs.
• Set working standards for testing, deployment, monitoring, backups, and access control.
• Protect customer and company data through practical security controls.
• Investigate production issues and make sure the same problems do not repeat.
• Help hire and guide a small engineering team as the company grows.
What we are looking for
• 3–5 years of professional software-engineering experience.
• Experience building and running production systems.
• Strong backend skills, including APIs, databases, and cloud services.
• Enough frontend knowledge to work across a product when needed.
• Good judgment about system design, security, reliability, and cost.
• The ability to explain technical choices in simple language.
• Comfort working independently and taking full ownership of delivery.
Experience in lending, housing finance, fintech, or another regulated industry is useful, but not required. Experience leading engineers or working directly with founders and business leaders is also useful.
How to apply
Please share your CV or LinkedIn profile and two short examples of production systems you have owned. This is a confidential search. More information about the company will be shared with shortlisted candidates during the interview process.
Job Title: Vice President – Technology (VP Tech)
Company: Timble Technologies Pvt. Ltd
Location: Arjan Garh, New Delhi (On-site)
Experience: 15+ Years
About Timble AI
Timble Glance is a high-growth AI-powered RegTech and enterprise B2B SaaS platform delivering mission-critical solutions to the BFSI sector. Our infrastructure powers 30+ enterprise-grade APIs handling digital identity management, real-time fraud mitigation, automated compliance, and document intelligence. We engineer high-concurrency, resilient systems designed for extreme throughput, sub-second latency, and bank-grade data security.
Role Overview
As the Vice President – Technology, you will be the chief technical strategist and engineering executive driving Timble AI’s technical vision, platform modernization, and AI innovation. You will own the end-to-end architectural roadmap, lead cross-functional engineering pods, and scale high-volume distributed systems that safeguard critical financial data. This role requires an executive who combines boardroom strategic gravitas with deep hands-on engineering credibility, capable of bridging rapid B2B SaaS product iteration with rigorous BFSI regulatory standards.
Key Responsibilities
· Technology Vision & Architectural Strategy: Define and execute a multi-year engineering roadmap across core product suites (Identity Verification, Fraud Detection Engines, and Document Intelligence), balancing cutting-edge feature delivery with enterprise-grade stability.
· Large-Scale Platform Engineering: Oversee the architecture and performance of 30+ high-scale APIs, ensuring 99.9% uptime, sub-second latency, fault-tolerant concurrency, and strict "efficiency by design" across multi-tenant cloud environments.
· AI/ML & Intelligent Engineering: Drive the productionization of proprietary AI/ML and Generative AI pipelines—moving capabilities from experimental R&D into secure, low-latency, scalable BFSI workflows while advancing patent-pending intellectual property (IP).
· Cloud Architecture & FinOps: Direct cloud economics and infrastructure investments across AWS and GCP, establishing containerization, microservice modularity, automated CI/CD pipelines, and robust disaster recovery frameworks.
· Information Security & Regulatory Compliance: Enforce bank-grade security protocols, data privacy governance, and industry-mandated regulatory compliance (ISO 27001, SOC2, RBI/BFSI data localization guidelines) to protect sensitive enterprise data.
· People & Engineering Culture Leadership: Attract, mentor, and scale a world-class engineering organization (from SDE-1 to Principal Architects and Engineering Managers); institute rigorous code reviews, automated testing benchmarks, and clear career ladders.
· Executive & Stakeholder Alignment: Partner directly with the Founder, C-suite, and Product Leadership to translate complex technological initiatives into clear business outcomes, enterprise client trust, and scalable revenue growth.
Required Qualifications & Experience
· Experience: 15+ years of progressive software engineering and technology leadership experience, with significant tenure leading engineering organizations in Fintech, RegTech, or high-scale B2B SaaS.
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· AI Production Track Record: Demonstrated experience successfully deploying, monitoring, and scaling machine learning, computer vision, or NLP/LLM models in latency-critical production environments.
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· Technically Credible Executive: Capable of engaging in deep-dive architectural RFCs with engineering teams while articulating business impact and ROI to board members and enterprise BFSI clients.
· Builder Mindset: Thrives in high-ownership, agile environments, successfully balancing rapid product velocity with uncompromised software quality and data integrity.
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· You can visit our website .
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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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Preferred (Education) - Tier 1 engineering college

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.
This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and
operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding
agents and automation tools to improve the team's output without compromising quality.
Key Responsibilities
• Own the architecture, development, deployment, and reliability of our backend systems.
• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.
• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and
retrospectives.
• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.
• Track execution proactively, identify delivery risks early, and communicate status clearly.
• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.
• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.
• Improve engineering quality through coding standards, automated testing, documentation, and review processes.
• Delegate work effectively across team members according to their strengths and development needs.
• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all
outputs.
• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of
done.
• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.
What We Are Looking For
• 4+ years of backend engineering experience.
• At least 2 years of experience leading or managing an engineering team.
• Strong hands-on backend development experience with modern backend technologies and frameworks.
• Practical experience with cloud infrastructure, DevOps, CI/CD, containers, monitoring, and production operations.
• Experience working in a mature, process-oriented engineering environment.
• Demonstrated ability to improve delivery predictability and engineering throughput.
• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.
• Ability to manage multiple people and concurrent streams of work.• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.
• Strong written and verbal communication skills.
• Ability to give direct, constructive feedback and hold team members accountable.
• Sound judgement about when to build, delegate, automate, or reduce scope.
AI-Assisted Engineering
The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:
• Breaking work into tasks that can be delegated safely to coding agents.
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• Measuring whether AI tooling produces genuine delivery improvements.
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• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.
• Take ownership of backend and DevOps execution.
• Introduce a consistent planning, tracking, review, and release cadence.
• Establish visibility into ownership, progress, dependencies, and delivery risks.
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Nice to Have
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Job Description:
Head of Engineering — Chennai (Onsite)About the Role
Job Details
Position: Head of Engineering
Department: Engineering
Experience: 6–8 Years
Employment Type: Full-time
Location: Chennai, On-site
Salary: Up to ₹24,00,000 per annum
About the Role
We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.
This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.
What You’ll Do
- Own engineering end to end, including architecture, development, delivery, quality, and hiring.
- Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
- Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
- Improve development velocity and reduce cycle time without compromising product quality.
- Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
- Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
- Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
- Build, mentor, and scale a high-performing engineering team.
What We’re Looking For
- 6–8 years of professional software engineering experience.
- Experience taking at least one product from zero to launch.
- Experience building and scaling at least one product to a large user base.
- Strong hands-on expertise in Python and Node.js.
- Comfortable working with React Native / Expo.
- Strong understanding of PostgreSQL and database fundamentals.
- Previous experience leading a small engineering team.
- A leadership style based on ownership and technical example, rather than simply assigning tickets.
- Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
- Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
- Based in Chennai or willing to relocate.
How We Work
We operate with high pace, high ownership, and short feedback loops.
You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.
If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.
How to Apply
Join Aura Gold and be part of building a high-performing team from the ground up!
Ability to commute/relocate:
- Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)
Education:
- Bachelor's (Preferred)
Language:
- English, Tamil , Hindi (Required)
Location:
- Chennai, Tamil Nadu (Chennai, Chennai District) (Required)
Work Location: In person
What will you need to be successful in this role?
- Own end-to-end engineering and delivery for an organisation of ~150–200 people across client-deployed and product-owned engagements.
- Build and develop the leadership layer of Delivery Managers, Software Development Architects, and Solution Architects.
- Own P&L across all engagements – revenue, margin, cost, SOW governance, and contract negotiation.
- Own senior client relationships and lead governance forums (QBRs, steering committees) for top accounts.
- Drive engineering quality, technical standards, and engineer career development across the organisation.
- Establish the operating rhythm – weekly delivery review, monthly engineering review, quarterly client governance.
- Support pre-sales through estimates, proposals, and client pitches, and identify growth opportunities within accounts.
- 18+ years of total experience spanning engineering and delivery, with 5+ years in senior leadership.
- Proven track record running an organisation of 100+ engineers with direct P&L responsibility.
Good to have:
- Experience running both client-deployed (staff augmentation, embedded teams) and product-owned delivery models in one organisation.
- Technical awareness across Angular, React, .NET, Java, Node.js, Python, AWS, Azure, GCP, Docker, and Kubernetes.
- Exposure to AI-enabled delivery (RAG, agentic systems, MCP, A2A).
- Hands-on familiarity with Jira Align, MS Project, or similar portfolio tooling.
- MBA or equivalent business qualification; relevant certifications a plus (PMP, PgMP, SAFe).
Competencies:
- Engineering leadership and technical depth – credible with architects and senior engineers on architecture and trade-offs.
- Strong commercial acumen across P&L ownership, contract governance, and margin management.
- Excellent communication (written, verbal, presentation), persuasion, and negotiation skills at executive level.
- Proven ability to coach and develop delivery managers, architects, and senior engineers as a manager-of-managers.
- Sound judgement under pressure, balancing multiple priorities and stakeholders.
- A proactive, can-do and can-think approach to organisational change and problem-solving.
- Excellent academic record – B.E./B.Tech CS/IT with MBA or M.S.
Location: Remote - India
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.
3
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)
4
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.
6
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
About the Company
As the world moves toward AI-native applications, one element matters more than anything: data.
We are building a platform that helps organizations unlock the value hidden within customer feedback. By centralizing data from multiple sources—including CRM platforms, support systems, collaboration tools, surveys, community forums, and customer conversations—into a unified intelligence layer, we enable teams to understand customer needs and make better product decisions.
Built on top of this foundation is an AI-powered platform that allows teams to query, monitor, and act on customer intelligence directly within their workflows. Our customers include some of the fastest-growing product-led technology companies as well as large global enterprises.
Backed by leading global venture capital firms, our engineering culture is AI-native from the ground up. Agents, LLMs, and applied machine learning are not side projects—they are central to how we build products. We operate at the cutting edge of agentic systems and continuously push the boundaries of what modern AI applications can achieve.
What You Will Do
- Convert product direction into phased technical plans, including estimates, milestones, dependencies, and risk assessments.
- Make thoughtful trade-offs across correctness, latency, user experience, AI/model behavior, reliability, cost, and delivery speed.
- Define clear ownership boundaries across frontend applications, BFF layers, backend services, agent workflows, ML platforms, and data contracts.
- Review ERDs, PRDs, design documents, and implementation plans to identify gaps before they become execution challenges.
- Drive planning and execution for complex initiatives while empowering area leads and senior engineers to maintain ownership.
- Partner closely with Product, Design, Engineering, and GTM teams to turn ambiguous problem statements into executable solutions.
- Influence technical direction through strong engineering judgment, architectural leadership, and hands-on involvement.
- Mentor senior engineers and contribute to engineering excellence through reviews, incident analysis, and proactive risk management.
What It Takes
- 5+ years of experience as a Senior Engineer, Technical Lead, or equivalent role.
- Demonstrated experience owning architecture and execution for large-scale product or platform initiatives spanning multiple teams.
- Strong foundation in distributed systems and modern software architecture.
- Exposure to agentic AI systems, machine learning engineering, MLOps platforms, and frontend/BFF architectures.
- Ability to own end-to-end product and technical problems rather than specializing exclusively in a single layer of the stack.
- Proven track record of converting ambiguity into actionable engineering plans.
- Excellent written communication skills, including design documentation, architectural reviews, trade-off analyses, and RCA documentation.
- Ability to challenge requirements constructively and collaborate effectively across Product, Design, Engineering, and GTM functions.
- High ownership mindset, attention to detail, and a low-ego, collaborative approach.





