Revenue Productivity / GTM Execution / Applied AI

Turning GTM StrategyInto Measurable Business Execution.

I lead global GTM enablement operations at Autodesk, working with Revenue Operations and Technical Sales leaders to improve how teams prepare, engage customers, and measure execution.

Before Autodesk, I worked on large-scale GTM modernization at Ford and seller productivity at AWS.

I start with how people actually work, identify what gets in their way, and determine where better processes, technology, or AI can make a measurable difference.

Explore Selected WorkConnect on LinkedIn ↗

Portland Metro Area, Oregon · Senior Manager, GTM Enablement at Autodesk

Read the transcript

Technology can scale, so can friction. Different commercial motions need different ways of working.

I'm Ram Chennuru. I lead a global team within Autodesk Revenue Operations, focused on commercial productivity and execution. My work with technical sales and RevOps leaders starts with operating questions. What should we standardize? Where should we preserve flexibility? And what evidence would justify scaling a new way of working?

We're also exploring how customer goals, technical decisions, and commitments carry from discovery into customer success without teams having to reconstruct the context. Artificial intelligence can bring scattered context together. People still own judgment. And adoption data alone isn't enough. We also observe what changes in actual execution.

That's how I approach technology investment. Define the business problem. Establish a baseline. Then decide what to improve, scale, or stop.

At Ford, I partnered with dealer teams to improve complex selling motions. A flagship initiative recorded 2.4 times revenue versus national peers with three times faster sales cycles and three times higher win rates. I also helped simplify enterprise technology, contributing to more than $4 million in annual savings.

At AWS, I shaped enterprise product and knowledge experiences for more than 20,000 technical sellers. At Goldman Sachs, I managed production operations for mission-critical global trading systems where reliability and continuous availability were essential.

Different industries, same principle. Transformation is measured by how work improves, not what technology gets launched.

§ 01 · Impact

Results at enterprise scale.

16K+

Global direct and partner field users supported by the GTM enablement operations I lead

Autodesk

$4M+

Annual operational savings from a GTM technology consolidation across 3,000+ locations

Ford

85%

Frontline queries self-resolved through the AI-powered knowledge system serving 200,000+ users

Ford

30%

Reduction in global support tickets from AI/NLP search improvements to an internal GTM platform

AWS

  • Ford · Virtual Showroom · 3× win rate, 2.4× revenue, 3× faster cycles. Participating dealers vs. the national peer group; a comparison, not a causal attribution.
  • AWS · GTM platform · +25% platform engagement alongside the 30% ticket reduction.

§ 02 · Selected Work

Decisions behind the results.

Three cases, each marked by where it stands today: ongoing, implemented, or delivered.

  1. Case 01Operating ModelOngoing

    Standardizing what matters without forcing every sales team into the same process

    The problem

    Across a global enterprise sales organization, different teams had accumulated overlapping content sources and inconsistent customer-engagement practices.

    The instinct was to consolidate tools and introduce a common experience. But high-velocity selling, collaborative account management, and long-running enterprise relationships placed different demands on sellers. A universal process could have reduced the number of systems without making the work easier.

    What I did

    Working with Technical Sales leadership, I helped structure the problem into three connected areas: a consistent foundation for reusable content, better customer-engagement workflows, and continuity of customer context across the account lifecycle.

    Instead of starting with a technology decision, we used representative selling motions and live field tests to examine which practices should be standardized and which needed flexibility.

    Progress

    The work established a phased direction for the shared foundation, informed live field pilots, and created clearer criteria for leadership decisions about broader adoption.

    The larger operating-model transformation remains in progress.

    Start with the selling motion. Let the technology follow.

  2. Case 02Field ExecutionImplemented

    Making customer follow-up measurable beyond the initial interaction

    The problem

    After major customer events, sellers often have valuable conversations but follow up using separate decks, links, and emails. This creates an inconsistent buyer experience and makes it difficult to understand whether customers actually engage.

    What I did

    I worked with Sales, Marketing, and enablement partners to activate a repeatable customer-follow-up motion.

    The approach gave field teams reusable starting points they could personalize for specific customers, connected engagement to existing account and opportunity workflows, and provided practical guidance to support adoption.

    A central part of my work was distinguishing seller activity from customer engagement and downstream commercial impact.

    Outcome

    The motion was adopted by field users and generated observable customer engagement.

    We also established a measurement approach that connects buyer activity with opportunity context, while avoiding unsupported claims that engagement directly caused revenue outcomes.

    Activity is a signal. The business result still has to be established.

  3. Case 03Business OperationsDelivered

    Reducing complexity across a distributed GTM organization

    The problem

    A large distributed partner-facing organization was operating across fragmented technology, processes, and support experiences. The complexity increased operating cost and made consistent execution harder to sustain.

    What I did

    At Ford, I led GTM technology and operational consolidation work across a broad distributed network, rationalizing overlapping systems and improving how the operating environment was managed.

    The focus was not simply selecting fewer tools. It was maintaining the capabilities the field needed while reducing unnecessary complexity, duplication, and operating overhead.

    Outcome

    The initiative produced $4M+ in annual operational savings and a simpler environment to support at scale.

    The value of modernization is what it removes from the business, not how much new technology it introduces.

§ 03 · Approach

How I approach GTM execution.

  1. 01

    Define the business problem

    Identify the revenue priority, operating constraint, or seller friction that matters.

  2. 02

    Understand the workflow

    Examine how people actually work, where information is fragmented, and where processes break down.

  3. 03

    Improve execution

    Use process design, technology, AI, and targeted interventions to remove friction.

  4. 04

    Measure and decide

    Establish baselines, evaluate what changed, and decide what to scale, improve, or stop.

AI where it creates real value.

I apply AI where it reduces operational friction, improves access to trusted information, and supports better decisions inside existing workflows. The objective is measurable improvement in execution, not technology adoption for its own sake.

Deployed: AI knowledge discovery (Ford), AI/NLP search (AWS). Piloting / concept: contextual guidance inside seller workflows, AI assistants grounded in trusted enterprise knowledge, and evaluating automation against business outcomes.

§ 04 · Experience

Leadership and results.

Where the work happened

Hover, tap, or tab through

  • −30%Global support tickets · +25% engagement

    Internal GTM platform · 60,000+ users, incl. technical sales

    • Owned roadmap and telemetry; sustained executive funding by tying platform usage to GTM productivity.
    • AI/NLP search optimization cut global support ticket volume 30% and lifted engagement 25%.
    • Embedded knowledge and analytics directly into seller workflows.
  • 3×Win rate · 2.4× revenue · 3× faster cycles

    Global GTM systems · 3,000+ locations

    • Virtual Showroom GTM rollout: participating dealers showed 3× win rate, 2.4× revenue, and 3× faster cycles vs. the national peer group (comparison, not attribution).
    • $4M+ annual OPEX savings from a global GTM tech-stack consolidation.
    • Internal AI Knowledge Graph for 200K+ users; auto-resolved ~85% of frontline queries.
  • 16K+Direct and partner field users supported

    Global GTM enablement · 16,000+ field users

    • Led the global modernization of enablement infrastructure: learning, content governance, certifications, and partner readiness.
    • Lead 4 direct reports and 5 external partners across platform operations, analytics, digital adoption, and governance.
    • Work within the Revenue Operations organization with RevOps and Technical Sales leaders on seller productivity.
  1. Dec 2025 – Present
    Autodesk
    Remote

    Senior Manager, GTM Enablement

    Global field enablement operations, team leadership, GTM operating models, AI-enabled workflows, seller productivity, and measurement.

    Lead global GTM enablement platforms and operations supporting 16,000+ direct and partner field users, working within Autodesk's Revenue Operations organization alongside fellow RevOps and Technical Sales leaders. Manage four direct reports and five specialized external partners across platform operations, analytics, digital adoption, and governance, translating strategic priorities into scalable execution.

    • 01 · Enterprise modernizationDelivered

      Led the global modernization of Autodesk's enablement infrastructure, consolidating legacy environments into one foundation for learning, content governance, certifications, and partner readiness.

    • 02 · Seller productivityAdvancing

      Examining seller workflows with Technical Sales and RevOps leaders to find operational friction, then turning requirements into workflow improvements, targeted pilots, and evidence-based recommendations.

    • 03 · Commercial measurementBuilding

      Connecting seller readiness, workflow behavior, customer engagement, and CRM opportunity context so leaders can see what is working and decide where to invest.

    In practice: turning GTM priorities into field execution

    Partnered across Marketing and Revenue Operations to turn Autodesk University into a repeatable customer follow-up motion, connecting seller activation, customer activity, and opportunity context to evaluate execution and inform the next cycle.

  2. Jul 2023 – Dec 2025
    Ford Motor Company
    Remote

    Manager, GTM Enablement & AI Strategy

    Distributed GTM modernization, operating efficiency, AI knowledge systems, and commercial enablement across partner-facing environments.

    Operations: orchestrated a global GTM systems rationalization across 3,000+ locations, generating $4M+ in annual OPEX savings. AI knowledge: owned an internal AI Knowledge Graph serving 200,000+ users that auto-resolved ~85% of frontline queries and removed 1,000+ hours of monthly support overhead. Commercial: led the GTM rollout of the AI-enabled Virtual Showroom; participating dealers showed 2.4x revenue, 3x win rates, and 3x faster deal cycles versus the national peer group (a comparison, not a causal attribution). Engineered in-CRM workflow deflections that absorbed 66% of tier-1 requests, accelerated resolution by 90%, and lifted CSAT by 23 points in a single quarter.

  3. Jun 2021 – Jul 2023
    Amazon Web Services
    Dallas, TX

    Product Manager

    Global enablement product strategy for technical sellers, AI/NLP search optimization, knowledge discovery, and productivity.

    Directed the product roadmap and telemetry strategy for an internal GTM platform used by 60,000+ users, including technical sales teams, sustaining executive funding by tying platform usage to GTM productivity. Led an AI/NLP search optimization that cut global support ticket volume by 30% while lifting platform engagement by 25%. Embedded knowledge resources and GTM analytics directly into sales workflows to remove context-switching from complex technical deals.

  4. Jul 2017 – Jun 2021
    Goldman Sachs
    Salt Lake City, UT

    Platform Operations Manager, Trading Systems

    Operational discipline, critical systems reliability, technical leadership, process improvement, and automation.

    Ran mission-critical trading infrastructure at 99.9% uptime for global trading desks, and restructured L1/L2 support and self-service documentation to cut issue resolution time by 40%.

Education · M.S., Management Information Systems, University of Texas at Arlington · B.E., Mechanical Engineering, Amrita Vishwa Vidyapeetham

§ 05 · Writing & Speaking

Working in public.

Notes on how seller behavior connects to revenue outcomes, the gap between AI adoption and business value, and how GTM leaders decide what to scale.

  1. LinkedIn essay№ 01

    Structured content is infrastructure. The evaluation model is the strategy.

    Structured content is essential infrastructure for agentic AI, but faster access alone is not a commercial strategy. The real transformation is tying that infrastructure to measurable changes in attach rates, cycle times, and win rates.

    Read on LinkedIn ↗
  2. LinkedIn essay№ 02

    The translation layer between seller behavior and pipeline movement is the seat that matters.

    RevOps sees pipeline movement; enablement develops seller behavior. Neither can prove the connection alone, and building that translation layer is where the real leverage sits.

    Read on LinkedIn ↗
  3. Method note№ 03

    Designing a controlled evaluation of agentic AI against a revenue metric.

    Start with a revenue metric and a stable human baseline, then evaluate the agentic layer against a comparable cohort. Account for confounders and end with a decision to expand, adjust, or stop, not just another dashboard.

    Read the article →

Speaking & contributions

On stage. In conversation.

Ram Chennuru speaking on stage with a microphone at Mindtickle Elevate '26.
On stage at Mindtickle Elevate ’26 · Austin, 2026
From Elevate · LinkedIn reflectionThe Seller Shouldn’t Be the Integration Layer ↗

Formal speaking

  1. Featured speaker

    Mindtickle Elevate '26 ↗

    Enablement in the flow of work and AI integration.

Published contribution

“The teams that matter will own the decision layer, the system that determines what a seller sees, when, and why.”
Ram Chennuru, in Mindtickle’s published collection of revenue enablement perspectives, A New Dawn for Revenue Enablement ↗

Industry conversations

  1. Whatfix Customer Connect

    Industry discussions on digital adoption and governance.

  2. Whatfix Fireside Chat

    A conversation about simulations and operational readiness during enterprise transformation.

§ 06 · Independent Work

REOS: an independent working prototype.

An independent framework, built on my own time, exploring how revenue organizations can connect seller behavior, workflow interventions, and commercial outcomes to make better operating decisions. Four parts: Integration · Signals · Intelligence · Outcomes. It is not an Autodesk system. The seller journey and signal exhibit below use fictional data and are illustrative only.

reos.prototype · v0.1 · click to zoomOpen prototype →
01Integration
Platform-agnostic. Built on the CRM and revenue stack already in place.
02Signals
Forecast accuracy, pipeline velocity, win rate by motion.
03Intelligence
Cohort-level deltas: what moved the number, and why.
04Outcomes
Tied to revenue, not adoption or activity.

Access

The prototype is password-protected and shared on request with hiring teams and operators evaluating the framework in context.

Request access →

Illustrative seller journey.

Illustrative example below, following a fictional deal: Acme Corp · Enterprise Platform · $485K · competitor incumbent, renewal in Q3.

Illustrative · seller-flow exhibit

Embedded in the seller's stack

The seller journey, embedded. Not a portal sellers leave their work to visit.

Hover any stage to preview · click to lock the example open.

Seller journeyfirst touchrenewal & expansion
FoundationOne approved, governed source of content surfaced natively inside every system above. Not a portal sellers leave their work to visit.

Examples are illustrative simulations using a fictional "Acme Corp" enterprise deal. Tooling shown is representative, not vendor-specific.

course completionscertification ratecontent viewsportal loginssession durationadoption ratetime in toolenablement touchestraining hoursasset downloadssearch queriespage visitsvideo watch timequiz scoresattendance ratelicense utilizationonboarding velocitycontent freshnessengagement scoreNPSstage conversioncycle timemulti-product attachwin rate

What GTM orgs can show you.

§ 07 · Contact

Get in touch.

Interested in connecting with leaders working on revenue productivity, GTM transformation, AI-enabled workflows, and commercial operations.

© 2026 Ram Chennuru · Portland Metro Area, Oregon

GTM Operations · Revenue Productivity · AI-Enabled Transformation