Technical Product Manager

We are looking for a Technical Product Manager with strong technical depth and hands-on exposure to AI/ML and generative AI to drive the strategy, development, and execution of technology-led products.

The ideal candidate will be comfortable working closely with engineering, design, data science, AI/ML, and business teams to translate customer and business problems into scalable product solutions. You should be able to understand technical architecture, APIs, data flows, AI capabilities, and system constraints while maintaining a strong product mindset.

Responsibilities:

• Own the product vision, roadmap, and prioritization for technology and AI-driven products.
• Work closely with engineering and AI/ML teams to define product requirements, use cases, and technical specifications.
• Translate complex business and customer problems into clear PRDs, user stories, acceptance criteria, and product requirements.
• Drive products through the complete lifecycle of discovery, requirements, development, launch, adoption, and continuous improvement.
• Identify opportunities to leverage generative AI, LLMs, AI agents, RAG, automation, and intelligent workflows within products.
• Collaborate with engineering teams on APIs, microservices, data pipelines, integrations, system architecture, scalability, security, and performance.
• Partner with AI/ML teams to evaluate model capabilities, accuracy, latency, cost, reliability, and overall product impact.
• Define and monitor product KPIs, adoption metrics, business outcomes, and customer success metrics.
• Conduct customer and stakeholder discovery to identify pain points and validate product opportunities.
• Prioritize initiatives using customer value, business impact, technical feasibility, effort, and strategic alignment.
• Lead cross-functional execution and proactively identify and resolve product and technical dependencies.
• Work with engineering and QA teams to ensure high-quality product releases.
• Define experimentation and feedback loops to continuously improve AI-powered features.
• Stay current with developments in GenAI, LLMs, AI agents, RAG, multimodal AI, and AI-enabled product experiences.

Requirements:

• 5-9 years of experience in product management, technical product management, software engineering + product, or a similar technology-focused role.
• Strong understanding of software development and engineering principles.
• Experience working closely with engineering teams on complex technical products.
• Strong understanding of APIs, databases, distributed systems, cloud technologies, microservices, and system architecture.
• Demonstrated exposure to AI/ML or generative AI products and use cases.
• Good understanding of concepts such as LLMs and foundation models, prompt engineering, RAG, AI agents/agentic workflows, embeddings and vector databases, model evaluation, AI inference, latency, and cost considerations.
• Ability to work with technical teams and understand architecture/design discussions without requiring the role to be hands-on engineering.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder-management skills.
• Experience working in Agile/Scrum product development environments.
• Ability to manage multiple priorities and drive execution in a fast-paced environment.

Good to Have:

• Experience building or managing AI-first / GenAI products.
• Experience with conversational AI, voice AI, or intelligent assistants.
• Exposure to AI platforms such as OpenAI, Anthropic, Gemini, or open-source LLMs.
• Familiarity with AI evaluation, observability, guardrails, model routing, and LLM cost optimization.
• Prior experience working with B2B SaaS, FinTech, enterprise technology, or platform products.
• Technical background in software engineering, data engineering, ML engineering, or cloud technologies.

What We're Looking For:

• Technical depth: You can confidently engage with engineers and understand technical trade-offs.
• Product thinking: You can identify the right problems to solve and prioritize them effectively.
• AI mindset: You understand where AI can create genuine product value and where it may not be the right solution.
• Execution focus: You can take products from concept to production and drive measurable outcomes.
• Customer focus: You are comfortable talking to customers and converting feedback into actionable product improvements.
• Strong ownership: You take end-to-end responsibility for product outcomes.
• Education: Bachelor's or master's degree in computer science, engineering, information technology, business, or a related field.