Senior Technical Product Manager

Job Summary

Technical Product Manager — CTO Office Standards

Standards & Delivery | CTO Office | Senior IC | Bangalore, India

Experience: 15+ years

About the Company

Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered Transformation Services as a Software Model. With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.

With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.

We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations.

About the Role

The CTO Office produces the architecture decisions, deployment standards, and security specifications that govern how Trianz builds and deploys AI at enterprise scale. The output is only as valuable as its adoption. A brilliant architecture decision that engineering teams misinterpret, partially implement, or quietly ignore is not a delivered standard — it is a document.

You are the person who closes that gap.

As Technical Product Manager for the CTO Office Standards layer, your product is not a customer-facing application. Your product is the standard itself — its completeness, its clarity, its adoption, and its implementation fidelity across engineering teams. You own the quality of every specification, blueprint, and architectural decision that leaves the CTO Office. You manage its lifecycle from creation through adoption. You track whether engineering teams have actually built against it — and you flag the gaps before they become production misalignments.

This role requires someone who can read an architecture diagram without help, understand an API specification without a translator, and assess whether a deployment blueprint is genuinely implementation-ready or just technically plausible on paper. You do not need to write the architecture. You need to know when it is ready to ship — and when it is not.

If you are a generalist PM who relies on engineers to interpret technical documents for you, this is not your role. If you are a customer-facing PM who optimises for user experience and feature velocity, this is not your role. If you are a technical PM who has owned the lifecycle of a platform standard from creation to engineering adoption in an AI product company — this is exactly your role.

Key Responsibilities

Standards Quality & Completeness

• Own the completeness and quality of all CTO Office deliverables: specifications, standards, blueprints, and POC documentation
• Package architecture decisions as implementation-ready standards — clear enough that engineering teams build without ambiguity or CTO involvement
• Assess every CTO Office output before release: is it complete, is it unambiguous, is it implementable
• Identify gaps in specifications before they reach engineering teams and return them to the architect with structured feedback
• Define and maintain the quality bar for what constitutes a shippable CTO Office standard

Standards Lifecycle Management

• Manage the standards adoption lifecycle: ensure engineering teams have received, understood, and committed to implementing CTO standards
• Track the implementation of CTO standards across engineering teams — flag gaps and deviations to the CTO
• Maintain the CTO Office standards library: versioned, searchable, and accessible to all implementation teams
• Manage the CTO Office roadmap document: what standards are coming, in what sequence, and why
• Own the versioning and deprecation lifecycle for all active standards

Standards Forum & Engineering Engagement

• Run the standards forum: regular sessions where engineering teams engage with, question, and commit to CTO Office output
• Design the standards communication cadence: how new standards are introduced, reviewed, and adopted
• Manage feedback loops between engineering teams and CTO Office architects
• Identify adoption blockers: ambiguity, missing context, conflicting standards, or resource constraints
• Escalate implementation gaps and deviations to the CTO with structured evidence

Capital Raise & Technical Narrative

• Produce the capital-raise technical narrative: what the CTO Office has delivered, what it enables, and what it unlocks for the business
• Translate CTO Office output into investor and board-level language without losing technical accuracy
• Maintain the portfolio of CTO Office deliverables as evidence of architectural progress and platform maturity
• Support enterprise sales with technical standards documentation that demonstrates platform credibility

Qualifications

Experience - 15+ years

Must-Have

Technical Standards Ownership:

• Produced technical specifications or platform standards that engineering teams implemented in production
• Worked as a technical PM in an AI or ML product company
• Managed the lifecycle of a technical standard or internal platform from creation to adoption
• Can read and understand architecture diagrams, API specs, and deployment blueprints independently
• 7+ years in technical product management with at least 2 years in AI product context

Technical Depth

• Independent reading of architecture diagrams: C4 models, sequence diagrams, data flow diagrams
• Understanding of API specification formats: OpenAPI, AsyncAPI, gRPC/Protobuf
• Familiarity with deployment blueprints: Kubernetes manifests, Helm charts, Terraform configurations
• Understanding of AI/ML system components: model training, evaluation, deployment, and versioning
• Familiarity with LLM product development: RAG pipelines, fine-tuning cycles, inference optimization
• Ability to assess whether a specification is genuinely implementation-ready or technically plausible on paper
• Understanding of security architecture specifications: Zero Trust, IAM, compliance controls

Standards Product Management

• Platform-as-a-product mindset applied to internal technical standards
• Standards versioning, deprecation, and lifecycle management
• Adoption tracking: measuring whether engineering teams are implementing against standards
• Quality bar definition: what makes a standard shippable vs. incomplete
• Feedback loop design between standard producers and standard consumers
• Standards library design: organization, searchability, version control, and accessibility

Mindset & Fit

• Treats the standard as the product — quality and adoption are the metrics
• Technically literate enough to assess specification completeness without architect hand-holding
• Comfortable operating between senior architects and implementation engineering teams
• Driven by implementation fidelity — the standard only matters if it gets built correctly
• High written communication standard — produces clear, unambiguous documentation
• Proactive gap identifier — finds the missing piece before engineering hits it in production

Good to Have

• Internal Developer Platform (IDP) experience — platform-as-a-product mindset for engineering consumers
• OpenAPI specification authoring — hands-on experience writing or reviewing API contracts
• Investor or board-level technology narrative — translating technical progress into capital-raise language
• Architecture Decision Record (ADR) management — maintaining and versioning architectural decisions
• Developer experience (DX) design — making technical standards consumable for engineering teams
• Technical writing depth — producing documentation that engineers trust and reference
• AI platform product experience — TPM for MLOps, LLMOps, or AI infrastructure products

What This Role Is NOT

• ❌ A product manager for a customer-facing product
• ❌ A business analyst or requirements gatherer without technical depth
• ❌ A generalist PM without AI product company experience
• ❌ Someone who relies on engineers to interpret technical documents
• ❌ A PM who measures success by feature releases — success here is adoption and implementation fidelity