Technical Product Manager

Role Overview

The Architecture / Technical Product Manager (TPM) is responsible for defining and governing the technical product strategy and reference architecture across the organization's product portfolio, across the full product lifecyclefrom concept and MVP through growth, scale, and modernization.

This role ensures that product lifecycle decisions (build, scale, optimize, sunset) are aligned with enterprise architecture, data strategy, security, and long-term platform sustainability. Operating within a Product Factory model, the role bridges Product Management, Engineering, Architecture, Security, Data, and Operations to enable faster, safer, and more predictable product delivery at scale.

Key Responsibilities

2.1 Product Lifecycle Management (PLM) Ownership

1. Define and govern the technical lifecycle stages of products and major capabilities:

2. Concept & Feasibility

3. MVP / Pilot

4. Growth & Scale

5. Optimization & Modernization

6. Decommissioning / Sunset

2. Ensure architectural decisions are appropriate for the current lifecycle stage and future transitions.

3. Drive lifecycle-based technical roadmaps aligned with business and regulatory timelines.

4. Establish entry/exit criteria for each lifecycle phase from a technical and architectural perspective.

2.2Technical Product Strategy & Architecture

1. Define, own, and evolve the reference architecture across the product portfolio.

2. Align architectural decisions with product vision, lifecycle stage, growth strategy, and business objectives.

3. Evaluate and document trade-offs related to scalability, performance, cost, and long-term maintainability.

4. Prevent architectural fragmentation across products and lifecycle stages.

2.3. Product Factory Enablement

1. Define and standardize reusable technical building blocks (services, APIs, data pipelines, security components).

2. Ensure new product initiatives inherit factory-grade capabilities from day one.

3. Reduce lead time between product ideation and enterprise-ready execution.

2.4. Scalability, Performance & Reliability

1. Define lifecycle-appropriate non-functional requirements for performance, scale, and resilience.

2. Drive architectural decisions for high-volume data ingestion, multi-tenancy, and fault tolerance.

3. Anticipate scale constraints during lifecycle transitions (e.g., MVP Growth).

2.5. Data & Integration Architecture

1. Govern data flows across the product lifecycle, from ingestion to reporting and archival.

2. Ensure data quality, lineage, auditability, and regulatory compliance.

3. Define and maintain integration standards for internal and external systems.

2.6. Security, Compliance & Risk Governance

1. Embed security-by-design principles across all lifecycle stages.

2. Partner with Security teams to define identity, access control, tenant isolation, and audit standards.

3. Ensure regulated enterprise requirements are addressed early in the lifecycle, not retrofitted later.

2.7. Cross-Functional Design Governance

1. Lead architectural and technical design reviews for new initiatives and major lifecycle transitions.

2. Ensure consistency across backend, frontend, data, platform, and mobile components.

3. Resolve cross-team architectural conflicts with a lifecycle-aware approach.

2.8. Delivery Enablement (Lifecycle-Aware)

1. Define technical acceptance criteria aligned to the product lifecycle stage.

2. Enable teams to move fast in early stages while enforcing stronger governance at scale.

3. Ensure delivery teams are not blocked while maintaining architectural discipline.

2.9. Stakeholder Communication & Lifecycle Transparency

1. Communicate lifecycle status, risks, and architectural implications to leadership.

2. Support Product, Sales, and Delivery teams during feasibility, scaling, and enterprise discussions.

3. Provide clear recommendations on when to invest, optimize, or retire capabilities.

2.10. Technical Debt & Modernization Planning

1. Identify lifecycle-driven technical debt (e.g., MVP shortcuts).

2. Plan and prioritize modernization initiatives aligned with growth and regulatory needs.

3. Ensure sustainable evolution of the platform over time.

2.11. Capability Building & Mentorship

1. Mentor senior engineers and technical leads on lifecycle-aware architecture.

2. Build internal capability for long-term platform ownership.

3. Reduce dependency on external expertise through structured knowledge transfer.

3. Required Skills & Experience

3.1Experience

1. 10+ years in software engineering, architecture, or technical product roles.

2. Strong experience managing enterprise SaaS products across full lifecycles.

3. Experience in growth-stage or large-scale B2B environments.

3.2Technical Expertise

1. Scalable and distributed system architecture

2. Data engineering, pipelines, and integrations

3. Cloud-native platforms and DevOps practices

4. Security, compliance, and enterprise governance

5. Exposure to AI/ML integration is a plus

3.3Product & Leadership Skills

1. Strong product lifecycle management mindset

2. Ability to balance speed, scale, and sustainability

3. Executive-level communication and influence

4. Experience working within agile and product-led models