ac.Abhijnan
Chaturvedi

ENTERPRISE AI · PRODUCT LEADERSHIP

I lead AI products
from first use case
to market.

I’m Abhijnan. I work across product strategy, GenAI delivery and pricing, with experience leading product managers and business analysts.

Explore my work Discuss a role

Exploring Principal, Group & Lead Product Manager roles
Enterprise SaaS and applied AI · Pune, India

16+ years

in enterprise software

9+ years

in product management

38 direct reports

led across a product portfolio

Experience across
AI products, enterprise SaaS
and data platforms

01 / SELECTED WORK

The decisions behind the work.

Three examples of how I connect customer needs,
technical choices and business priorities.

01
AI ECONOMICSPRICING & PACKAGINGEXECUTIVE INFLUENCE

Choosing how to charge for an AI product

Customer usage varied. Every evaluation carried an LLM cost. I connected model benchmarking with a consumption-pricing business case and secured C-suite approval.

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The problem

A GenAI product for customer experience quality evaluation had to serve customers with very different evaluation volumes. A uniform license fee was a difficult fit for that variation.

The evidence

I tested multiple LLMs through an automated pipeline using a fixed set of call transcripts and prompts covering edge cases. LLM-as-a-judge scoring and manual review against golden data helped compare accuracy with cost per evaluation.

The decision

I weighed licensing against consumption pricing. The recommendation linked charges to usage for the GenAI capabilities within a broader model that also included subscription licensing.

Executive approval

Model-cost business cases and working AI prototypes made the trade-offs concrete. Leadership approved the consumption-pricing approach.

My contribution

Model evaluation, pricing rationale, commercial packaging and the executive business case.

THE CORE TRADE-OFF
SUBSCRIPTIONPredictable fee
vs
CONSUMPTIONSpend follows usage

Quality, cost to serve and customer usage informed the recommendation.

02
GENAI & AGENTIC AIPRODUCT LAUNCH

Connecting evaluation with coaching

A quality score needs a useful next step. I led a GenAI evaluation product from initial concept to launch, connecting conversation evaluation with skill-gap identification and coaching workflows.

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The problem

Quality teams needed to turn conversation insights into actions that helped agents improve. Manual routing between evaluation and coaching created friction.

The product approach

A multi-step agentic workflow combined conversation evaluation, skill-gap identification and coaching allocation, using LLM orchestration, prompt engineering and RAG feedback loops.

My role

I owned product vision, roadmap and requirements, and worked with Engineering, Architecture and Design on scope and delivery. I also launched an AI coaching simulator for agents to practise customer interactions.

The result

The launched product connected evaluation and coaching, eliminating the manual routing step between them.

My contribution

Product strategy, workflow design, prioritization and cross-functional delivery.

THE PRODUCT FLOW
  1. Evaluate the conversation
  2. Identify skill gaps
  3. Route coaching
  4. Practise with a simulator
03
ENTERPRISE DATAPLATFORM STRATEGY

Making enterprise data more trustworthy

At Globant, I delivered an enterprise data-quality and governance framework for a global professional services organization, bringing consistency to how teams assessed and managed their data.

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The problem

Distributed enterprise systems needed a consistent approach to data quality, confidence and governance.

The platform

The framework covered ingestion, profiling, PII handling, tokenization, enrichment and deduplication, with a roadmap spanning ML-based standardization, business rules and data observability.

My role

I owned strategy, roadmap and requirements, partnering with data architects and Engineering. I also aligned stakeholders across regions on priorities, capacity and rollout.

The result

The framework was adopted across global service lines, establishing a shared approach to enterprise data quality and governance.

My contribution

Platform product ownership, data governance requirements and global stakeholder alignment.

PLATFORM FOCUS
  • Data quality
  • Privacy & governance
  • Shared business rules
  • Quality observability

02 / PEOPLE & PRODUCT LEADERSHIP

Building the team
behind the product.

As India portfolio head at Globant, I directly managed product managers and business analysts across account projects. My responsibilities included goals, KPIs, mentoring, appraisals and promotions.

6Product Managers
32Business Analysts

Portfolio-wide people management, alongside hands-on delivery leadership for an assigned product line.

03 / EXPERIENCE

A career built close to delivery.

From software and analysis to platform strategy,
applied AI and product leadership.

Senior Specialist Product Manager

Enterprise CX software · GenAI products

  • Own product strategy, roadmap, pricing and go-to-market for GenAI-powered quality management in enterprise contact centers.
  • Led an evaluation product from concept to launch, connecting conversation evaluation, skill-gap identification and coaching. Also launched an AI coaching simulator for agents to practise customer interactions.
  • Secured C-suite approval for consumption pricing through model-cost business cases and working AI prototypes; benchmarked LLMs on accuracy, latency and cost.
  • Align Engineering, Architecture, Design and GTM on scope and delivery, and equip Sales and pre-sales with product positioning, competitive battlecards and demo narratives.

Senior Product Manager

Globant

  • As India portfolio head, directly managed 38 professionals: six Product Managers and 32 Business Analysts. Owned goals, KPIs, appraisals, promotions and mentoring.
  • Owned strategy and roadmap for an enterprise data-quality and governance platform covering profiling, PII handling, tokenization, enrichment and deduplication.
  • Led investment planning, roadmap reviews and delivery alignment across regions, working with Engineering and client leadership on priorities, capacity and rollout.

Lead Product Analyst · Travel SME

Cybage Software

  • Defined roadmaps and requirements for travel platforms spanning pricing analytics, fleet and revenue management, and booking engines.
  • Built business cases using ROI and total cost of ownership analysis to support investment and roadmap decisions; translated customer research into product requirements.
  • Represented the Travel and Hospitality domain at a global car-rental and travel conference in Las Vegas in 2016.

Business Analyst

Nihilent Technologies

  • Led discovery, requirements analysis and process design across banking, healthcare and public-sector engagements, working with CIOs and client executives.
  • Delivered banking transformation requirements for account origination, payments and reconciliation, supported by journey mapping, user stories and prototyping.

Associate Software Engineer

Tata Consultancy Services

  • Managed production-issue tracking, delivery milestones and stakeholder communication for enterprise software programs.
  • Worked on EU compliance analysis for a multinational client.

EDUCATIONMBA, Systems · BIMM, Pune
B.Tech, Mechanical Engineering · Manipal Institute of Technology

BEYOND THE ROADMAPAI hackathon winner
Featured speaker at ProductNext webinars

LET’S TALK

Hiring for an AI
product leadership role?

I’m exploring Principal, Group and Lead Product Manager opportunities in enterprise SaaS and applied AI. I’d welcome a conversation about the product, the team and what you need the role to achieve.

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A GOOD FIT
  • Enterprise AI & GenAI products
  • Product strategy & commercialization
  • Platform & data products
  • PM team leadership

Pune, India