[Hiring] Senior AI Native Product Engineer @Mavvrik

Role Description

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.

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

• 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.

Preferred

• 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.