
(Apply in 3 Minutes) Technical Product Manager
6 days ago
Job Description
Role Overview: TPM/Product Manager, AI Safety
Location: Anywhere in India
Notice Period: Max. 60 Days
Interview Process: 4 Rounds
Interview Mode: Virtual Face-to-Face
Interview Timeline: 4 Weeks
About The Role
We're looking for a Technical Product Manager AI Automation to lead the development of AI-driven SaaS products that automate complex business processes at scale.
This role is ideal for someone with 34 years of experience delivering end-to-end AI products, deep technical fluency, and a passion for building intelligent automation platforms either for internal service delivery or client-facing use cases.
You will drive the product strategy, roadmap, and execution while working cross-functionally with AI engineers, platform teams, and business stakeholders.
Key Responsibilities
- Own the end-to-end product lifecycle for AI automation tools from concept to launch and continuous iteration.
- Define product vision and strategy for scalable automation solutions, aligning with business and client needs.
- Translate business requirements and technical possibilities into clear product specs and user stories.
- Collaborate with engineering, data science, UX, and operations to ship high-quality releases.
- Drive product discovery and user research, identifying pain points and automation opportunities.
- Establish and monitor product KPIs such as automation rate, adoption, and cost/time savings.
- Prioritize product initiatives using data-driven frameworks to maximize customer and business value.
- Act as the technical product owner in agile teams, ensuring clarity, speed, and excellence in delivery.
Technology Stack
You'll collaborate with technical teams working across the following tools and technologies:
- Languages & Frameworks: Python, JavaScript (Node.js/React), HTML/CSS
- AI/ML Tooling: TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face
- LLM Frameworks: LangChain, LangGraph, prompt engineering libraries
- Data Processing: SQL/NoSQL (PostgreSQL, MongoDB), Spark, Flink
- DevOps & Infra: Docker, Kubernetes, Terraform, CI/CD pipelines
- Cloud Platforms: AWS, Google Cloud Platform (GCP), Azure
- Monitoring & Observability: Datadog, Prometheus, Grafana
- Security & Compliance: SOC 2, ISO 27001, GDPR-aware architecture
What You'll Bring
- 34 years of product management experience, preferably in AI, automation, or SaaS platforms.
- Proven track record of owning and launching AI-enabled products that deliver measurable business value.
- Strong technical background with a deep understanding of AI/ML systems, APIs, and cloud infrastructure.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Excellent communication, stakeholder management, and cross-functional collaboration skills.
- Hands-on experience working with AI automation tools, either for internal service delivery or external client products.
Nice to Have
- Prior experience with service delivery platforms or business process automation.
- Familiarity with AI safety frameworks, explainability techniques, and ethical AI standards.
- Contributions to open-source projects or published work in AI tooling and automation.
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