Job Description & How to Apply Below
ROLE - TECH LEAD/ARCHITECT with AI Expertise
Experience:
10–15 Years
Location:
Bangalore (Onsite)
Company Type :
Product-based | AI B2B SaaS
About Product Nova
Product Nova is a fast-growing product development organization that partners with
ambitious companies to build, modernize, and scale high-impact digital products. Our teams
of product leaders, engineers, AI specialists, and growth experts work at the intersection of
strategy, technology, and execution to help organizations create differentiated product
portfolios and accelerate business outcomes.
Founded in early 2023, Product Nova has successfully designed, built, and launched 20+
large-scale, AI-powered products and platforms across industries. We specialize in solving
complex business problems through thoughtful product design, robust engineering, and
responsible use of AI.
Product Development
We design and build user-centric, scalable, AI-native B2B SaaS products that are deeply
aligned with business goals and long-term value creation.
Our end-to-end product development approach covers the full lifecycle:
Product discovery and problem definition
User research and product strategy
Experience design and rapid prototyping
AI-enabled engineering, testing, and platform architecture
Product launch, adoption, and continuous improvement
From early concepts to market-ready solutions, we focus on building products that are
resilient, scalable, and ready for real-world adoption. Post-launch, we work closely with
customers to iterate based on user feedback and expand products across new use cases,
customer segments, and markets.
Growth & Scale
For early-stage companies and startups, we act as product partners—shaping ideas into
viable products, identifying target customers, achieving product-market fit, and supporting
go-to-market execution, iteration, and scale.
For established organizations, we help unlock the next phase of growth by identifying
opportunities to modernize and scale existing products, enter new geographies, and build
entirely new product lines. Our teams enable innovation through AI, platform re
- architecture, and portfolio expansion to support sustained business growth.
Role Overview
We are looking for a Tech Lead / Architect to drive the end-to-end technical design and
development of AI-powered B2B SaaS products. This role requires a strong hands-on
technologist who can work closely with ML Engineers and Full Stack Development teams,
own the product architecture, and ensure scalability, security, and compliance across the
platform.
Key Responsibilities
• Lead the end-to-end architecture and development of AI-driven B2B SaaS products
• Collaborate closely with ML Engineers, Data Scientists, and Full Stack Developers to
integrate AI/ML models into production systems
• Define and own the overall product technology stack, including backend, frontend,
data, and cloud infrastructure
• Design scalable, resilient, and high-performance architectures for multi-tenant SaaS
platforms
• Drive cloud-native deployments (Azure) using modern Dev Ops and CI/CD practices
• Ensure data privacy, security, compliance, and governance (SOC2, GDPR, ISO, etc.)
across the product
• Take ownership of application security, access controls, and compliance
requirements
• Actively contribute hands-on through code reviews, complex feature development,
and architectural POCs
• Mentor and guide engineering teams, setting best practices for coding, testing, and
system design
• Work closely with Product Management and Leadership to translate business
requirements into technical solutions
Qualifications:
• 10–15 years of overall experience in software engineering and product
development
• Strong experience building B2B SaaS products at scale
• Proven expertise in system architecture, design patterns, and distributed systems
• Hands-on experience with cloud platforms (AWS / Azure / GCP)
• Solid background in backend technologies (Python/ .NET / Node.js / Java) and
modern frontend frameworks like React, JS, etc.
• Experience working with AI/ML teams and deploying ML models into production
environments
• Strong understanding of data security, privacy, and compliance frameworks
• Experience with microservices, APIs,…
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