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GTM Engineering at Innodata · Bellevue, WA

BSc Electrical & Computer Engineering · University of Washington

I turn buyer-intent signals into rooms full of the right people and those rooms into pipeline.

GTM Engineer and Field Marketer on the AI GTM Engineering team at Innodata. I blend technical data analytics, field marketing, and behavioral psychology to maximize ABM and minimize customer acquisition cost.

Rishab Mohan
Now
Innodata
Before
OneSixOne Ventures
Focus
GTM Engineering & ABM
Based in
Bellevue, WA
96
Senior AI leaders hosted across two dinners
36
Companies represented in the room
72
Director-level and above in attendance
200+
Attendees at Seattle Venture Day

Who has been in the room

The guest list is the product.

Sourced from buyer-intent signals, not a rented list.

Microsoft Google Amazon AWS Meta Apple NVIDIA Netflix Oracle Salesforce Adobe AMD Qualcomm ByteDance Alibaba Cloud Atlassian BlackRock Starbucks Visa Walmart GE HealthCare Dell Google DeepMind Sesame AI Nebius Lila Sciences Metropolis Xero

Companies represented by attendees across both dinners.

Selected work

Programs I have built and run.

Each one started as a pipeline problem, not an events brief.

Automated system

Multi-source lead qualification and intent signal capture

Four signal families feed one pipeline. When an intent signal fires, the system qualifies the account against ICP fit automatically, then hands the rep outbound messaging pointers grounded in the exact signal that triggered it. No manual list-building, no cold first touch.

Signal sources

Salesforce
Salesforce

Revenue & pipeline signals

  • Top-line revenue figures
  • Contract value and deal stages
  • Sales touchpoint histories
CDP

Product usage & engagement signals

  • Under-usage and utilization metrics
  • Feature adoption
  • Activity on video assets
6senseClayZoomInfo
6sense · Clay · ZoomInfo

Intent & market signals

  • Buyer intent and third-party research
  • Emerging competitor technologies
  • Regional trends, firmographic and technographic updates
Gong
Gong

Qualitative conversation signals

  • Call sentiment and objections
  • Customer pain points
  • Topics raised in rep interactions

Pipeline

01 · Capture

Intent signal fires

Any source can trigger. The event is normalised with account, contact and the raw signal attached.

02 · Qualify

Scored against ICP fit

Firmographics, technographics and pipeline history are checked against the ICP model. Low-fit accounts drop out here.

03 · Act

Outbound messaging pointers

The rep receives the qualified account plus a first-touch angle written from the specific signal that fired.

Private dining room set for the Innodata AI Leaders dinner in Bellevue

AI Leaders & Researchers Dinner: Bellevue

Seattle Tech Week. I identified the target accounts using buyer-intent signals, built the invite list against our ICP, and ran the room. The seniority we assembled brought Innodata's CEO in from New Jersey and our CVP of Research in from Israel.

25 companies represented Event page
Long communal table set for the Innodata AI Leaders dinner in South Lake Union

AI Leaders & Researchers Dinner: Seattle (SLU)

The South Lake Union counterpart, weighted toward research: applied scientists, research scientists and ML leads from AWS, NVIDIA, Microsoft AI and Apple. Intentionally capped to keep one conversation going across the whole table.

18 companies represented Event page

AI Builders & Researchers Happy Hour and Panel

“The Art & Science of Post-Training Agentic Systems”

Zhenyu Zhao
Zhenyu Zhao Staff Research Engineer at Lila Sciences. Previously Writer, Cohere and Airbnb. Ph.D., University of Pennsylvania.
Tommy Guy
Tommy Guy Principal Applied Scientist at Microsoft, Data Science Instructor at the University of Washington and co-host of PageNerd. M.A., Wake Forest University.
Matthew Lee
Matthew Lee Director of Applied Research. Previously Meta Superintelligence Labs, Scale AI and AWS. Data Science, UC Berkeley.
Rahul Singhal
ModeratorRahul Singhal President and Chief Revenue Officer at Innodata. Previously Chief Data Officer at IBM Watson and Professor at New York University.
Panel & happy hour

AI Builders & Founders Happy Hour

Co-hosted with Databricks, bringing builders and founders together with the engineering teams they actually want to talk to.

With Databricks Event page

VIP Tech Leaders Dinner

An invitation-only dinner run with OneSixOne Ventures and CIBC, pairing senior technology leaders with the investors and operators in their orbit.

OneSixOne & CIBC Event page

On the record

Programs at OneSixOne.

100X Founder Mindset

Naveen Jain Founder of InfoSpace, Intelius, Moon Express and Viome

Panel & fireside Watch recap

Inside Alexa's Origin Story

Nikko Ström Founding member of the Amazon Echo & Alexa team; former VP & Distinguished Scientist, Alexa AI

Fireside chat Watch recap

AI Cyber & Identity Mixer

A focused evening on how exposed identity infrastructure really is once AI enters the stack, and what operators are doing about it.

Scott Roberts
Scott Roberts CISO at UiPath. Cyber Advisor at Bain Capital, Madrona and Crew Capital. Founding Consortium Member at AIUC-1.
Vanessa Pegueros
Vanessa Pegueros Former CISO at Expedia, DocuSign and OneLogin. Board member at BECU and LivePerson. Venture Partner at Flying Fish Ventures.
Chirag Shah
Chirag Shah AI Professor and Researcher at the University of Washington. Author of 200+ peer-reviewed papers and 10 books. Co-director at RAISE.
Mixer Recap

Seattle Venture Day

Helped host OneSixOne Ventures' flagship day for founders, investors and operators, with over 200 attendees across panels and fireside sessions.

Sunny Gupta
Sunny Gupta Co-founder of Apptio, acquired by IBM for $4.6B
Erez Yarkoni
Erez Yarkoni Former CIO of T-Mobile US and Telstra; Founder & CCO at NewCore
Chris Watts
Chris Watts Founder of Untrace (acquired by OpenRouter); leads AI Labs at OpenRouter
200+ attendees Recap

Currently building

Three systems in flight.

Where the GTM engineering actually happens.

In progress

Take Back the Timeline

A repeatable launch system that turns Innodata's strongest technical breakthroughs into market moments. We build the audience, media relationships, internal voices, content and inbound infrastructure before the breakthrough lands, then coordinate them when there is genuinely something worth amplifying, converting technical credibility into market attention, qualified demand and pipeline, instead of letting major research results become one-off announcements.

In progress

Seattle researcher community

A forum for Seattle research scientists, applied scientists and ML researchers, curated events with VIP panelists where researchers showcase what they are actually working on. A genuine community first, and a natural venue to demonstrate what Innodata does second.

In progress

Geofenced competitive capture

Geofencing competitor events and reaching attendees with a genuinely better offer, framed around what it does for them individually: money saved, benchmarks improved, time returned. Relevance beats reach when you already know exactly where someone is standing.

Toolkit

The stack I operate in.

Tools are cheap. Knowing which signal to trust is the job.

Intent & Signal

6senseClayZoomInfo ApolloGong

CRM & Customer Data

SalesforceCDPHubSpot

Analytics & Orchestration

SQLPythonWebhooks REST APIs

Events & Community

LumaABM programmingField & dinners Geofencing

Experience

Where I have done it.

Innodata 2026 to Present
Community Events & Growth · AI GTM Engineering

On paper the title is Community Events & Growth. In practice the role has been far more open-ended.

During Seattle Tech Week, hosted by Madrona Ventures, Innodata wanted the right ICPs in the room having the right conversations. I identified those accounts using buyer-intent signals and helped run two dinners that brought in 96 senior AI leaders across 36 companies, including the CVP of Microsoft Research and an SVP from Microsoft's GenAI and Quantum organization. We assembled enough seniority that our CEO flew in from New Jersey and our CVP of Research flew in from Israel to be there.

Since that week my focus has shifted toward building real ABM pipelines: identifying genuine prospective customers rather than just event attendees and I am currently building an AI-driven orchestration and analytics system to support it.

OneSixOne Ventures Jan to Aug 2026
Growth & Marketing

OneSixOne is a pre-seed firm that prides itself on doing one thing better than most VC firms: hosting curated events where founders meet prospective investors, customers and advisors.

I owned event programming end to end, managed more than 50 relationships across the ecosystem, and owned content and brand strategy. The role meant operating at two levels at once: thinking through who should be in the room and what the narrative should be, while still executing the details that make an event actually land.

About

Data in, conversations out.

I work on the AI GTM Engineering team at Innodata. Day to day, my job is to find the right prospective customers using data signals, then get them in a room (dinners, panels, curated events) where a real conversation about their problems can actually happen. Those conversations become warm pipeline.

My background blends technical data analytics with hands-on event and growth marketing. More recently I have been going deep on the psychological side of marketing: not just who to target and when, but why someone says yes.

Before Innodata I was on the growth and marketing team at OneSixOne Ventures, where I learned that the guest list is the product, and that curation is a measurable discipline, not a soft one.

Engineer the GTM: combine data-driven insight with behavioral psychology to maximize ABM and minimize customer acquisition cost.

Contact

Let’s talk pipeline.

Always happy to talk GTM engineering, ABM, field programs, or who should be in the next room. Email is fastest.