Senior AI Native Product Engineer – India / Remote
Remote
Full Time
Experienced
Mavvrik is looking for a Senior Product Engineer with 6–12 years of experience who is deeply hands-on, product-minded, and highly effective at leveraging modern AI-assisted development tools and agentic workflows to build high-impact product capabilities.
This is a senior individual contributor role for someone who can take ambiguous customer and business problems, convert them into clear technical specifications, lead architecture, and deliver production-quality solutions with minimal hand-holding.
The ideal candidate regularly uses AI-assisted development platforms and agentic workflows to improve velocity while applying strong technical judgment.
If you are passionate about building high-impact products and believe AI-native engineering can fundamentally improve how software teams work, this is your opportunity to help shape the future of cloud FinOps at Mavvrik.
Learn more at www.mavvrik.ai.
This is a senior individual contributor role for someone who can take ambiguous customer and business problems, convert them into clear technical specifications, lead architecture, and deliver production-quality solutions with minimal hand-holding.
The ideal candidate regularly uses AI-assisted development platforms and agentic workflows to improve velocity while applying strong technical judgment.
Primary Responsibilities
- Own complex product capabilities from problem definition through design, implementation, release, and iteration.
- Translate customer, product, and business requirements into scalable technical solutions.
- Lead architecture and technical design for workflows, integrations, APIs, data pipelines, frontend experiences, and platform capabilities.
- Apply spec-driven development through technical specifications, design documents, implementation plans, architecture decisions, and acceptance criteria.
- Design and evolve platform architecture that can scale across customers, data volumes, integrations, and future product requirements.
- Build across the stack including Angular, Node.js, TypeScript, APIs, databases, data models, and cloud integrations.
- Leverage AI-assisted development workflows for design exploration, implementation, refactoring, testing, debugging, documentation, and code review while validating all outputs through strong engineering judgment.
- Evaluate trade-offs, risks, dependencies, scalability, security, usability, maintainability, and cost efficiency before implementation.
Secondary Responsibilities
- Collaborate closely with Product, Engineering, Customer Success, and leadership teams to deliver customer-impacting outcomes.
- Mentor engineers through design reviews, code reviews, technical guidance, and hands-on examples.
- Promote engineering excellence across clean code, testing, CI/CD, observability, security, and release readiness.
- Contribute to platform evolution and long-term technical strategy.
Qualifications
Required- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 6–12 years of hands-on software engineering experience with ownership of complex product or platform initiatives.
- Proven experience designing scalable software architecture and leading end-to-end product delivery.
- Hands-on experience using AI-assisted development platforms such as Claude Code, Cursor, Windsurf, Codex, or equivalent workflows.
- Ability to critically evaluate AI-generated designs, code, tests, and recommendations, identifying defects, risks, and hidden assumptions.
- Experience with spec-driven development and creation of technical specifications, design documents, implementation plans, and acceptance criteria.
- Strong programming skills in Node.js, TypeScript, Python, Go, or similar modern languages.
- Experience building modern frontend applications using Angular or similar frameworks such as React or Vue.
- Strong experience designing and consuming REST and GraphQL APIs.
- Strong understanding of distributed systems, databases, integrations, data pipelines, performance, security, scalability, and usability.
- Experience with SQL and NoSQL technologies such as PostgreSQL, MongoDB, BigQuery, Snowflake, Databricks, or similar platforms.
- Experience with AWS, Azure, or GCP.
- Strong communication skills, product mindset, and ability to operate independently in ambiguous environments.
- Demonstrated ability to rapidly move from concept to production while maintaining quality standards.
- Experience building AI-powered products, MCP integrations, agent frameworks, RAG systems, LLM orchestration, or AI platform capabilities.
- Experience in FinOps, cloud cost management, SaaS cost management, AI cost management, observability, or enterprise integrations.
- Experience with GitHub, pull requests, code reviews, and modern CI/CD workflows.
What Success Looks Like
- Operates independently with high ownership and minimal direction.
- Delivers customer-facing outcomes with speed, quality, and sound engineering judgment.
- Uses AI effectively to improve productivity without compromising reliability or maintainability.
- Makes pragmatic architectural decisions that balance speed, scalability, usability, and cost.
- Elevates engineering standards through influence, mentorship, and example.
Benefits
- Competitive salary, health insurance, and equity package
- Remote-first work environment
- Flexible working hours with overlap with US time zones
- Significant opportunity to influence product direction and technical strategy
- Direct impact on company growth and customer outcomes
- Opportunity to work on an AI-driven cloud, SaaS, and AI cost management platform
About Mavvrik
Mavvrik is a VC-backed, AI-driven startup revolutionizing hybrid cloud cost, SaaS cost, and AI cost management. Our platform empowers businesses to gain visibility, control, and optimization of their technology spend with real-time precision.If you are passionate about building high-impact products and believe AI-native engineering can fundamentally improve how software teams work, this is your opportunity to help shape the future of cloud FinOps at Mavvrik.
Learn more at www.mavvrik.ai.
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