Sr. Product Manager

The Director Product will be accountable for:

• End-to-end Builder lifecycle governance

• AI enablement roadmap

• Usability and platform discipline

• 24x7 support readiness

• Cross-functional operational alignment

• People leadership in-office

• Own prioritization and roadmap decisions for Builder in alignment with executive leadership.

Core Responsibilities 1. End-to-End Insurance Product Lifecycle Ownership

Own and continuously improve the full lifecycle within Builder:

• Product creation

• Configuration (rates rules forms workflows)

• Versioning & effective-date management

• Validation & testing

• Deployment

• Maintenance

• Product retirement

Establish structured governed enablement processes from creation to shutdown.

Builder must become the authoritative lifecycle platform.

2. AI-Enabled Platform Strategy

Lead Builders AI evolution including:

• AI Copilot for configuration

• RAG-based assistance

• Agentic workflows

• API tool orchestration

• AI-assisted impact analysis

Define AI roadmap aligned to enterprise SaaS standards.
Ensure AI capabilities are production-grade governed secure and compliant.

The candidate must be able to translate AI capabilities into structured product features and platform workflows.

3. 24x7 Builder Support & Customer Enablement

Builder is used by external customer IT teams and SIs.

Responsibilities include:

• Establish structured support organization

• Implement SLA-driven response model

• Create escalation governance

• Capture and prioritize usability feedback

• Improve customer satisfaction metrics

• Ensure production reliability

4. Governance & Operational Discipline

• Strengthen DEV / TEST / LIVE separation

• Standardize impact analysis practices

• Reduce configuration defects

• Improve release discipline

• Align with DevOps Cloud ISMS Production Ops

5. Cross-Functional Leadership

Work closely with:

• Engineering

• QA

• DevOps

• Cloud Infrastructure

• ISMS

• Production Monitoring

• Executive leadership

Balance customer needs scalability security and long-term platform integrity.

6. People Leadership (Mandatory In-Office)

• Lead teams in person

• Travel across TN offices

• Coach mentor and elevate BA/config teams

• Raise performance standards

• Build accountability culture

This role requires visible high-energy leadership.

Required Experience

• 5 years product management in SaaS/product company

• Experience owning a platform end-to-end

• Strong people leadership

• Experience with DevOps & production environments

• Experience defining lifecycle governance processes

• Managed enterprise-grade support functions

Required: Enterprise AI Platform Fluency

The candidate must demonstrate strong conceptual understanding of modern AI architectures and how they apply to enterprise SaaS platforms.

This includes familiarity with:

• RAG-based systems (embeddings retrieval grounding concepts)

• AI Copilot and agentic workflow patterns

• Tool/API orchestration models (e.g. MCP-style integration patterns)

• Structured output validation and guardrails

• Context propagation across microservices

• LLM vs traditional ML trade-offs

• Supervised unsupervised and reinforcement learning concepts (at conceptual level)

• Enterprise AI governance compliance and production risk controls

Hands-on model training is not required.

The candidate should have:

• Participated in AI initiatives beyond experimentation

• Contributed to AI-enabled features in a production SaaS environment

• Demonstrated initiative in applying AI to SaaS platforms

Surface-level AI tool usage (e.g. ChatGPT usage alone) is not sufficient.

Employment Type : Full Time
Experience: years
Vacancy: 1