AC

Cloud alliances · Microsoft & AI · Dallas, TX

Ali Chehab

Alliances Sales Manager, GTM - Microsoft & AI at Polestar Analytics. I build repeatable revenue engines across Microsoft and Databricks partner networks for Data & AI consulting and professional services.

Polestar Analytics · Formerly Affirma Consulting

How I work

The way I think about partnerships has always been less about maintaining relationships and more about building an ecosystem that can actually produce revenue.

At the center of that ecosystem is always the customer, but around the customer are a lot of moving parts: field sellers, partner managers, solution architects, funding programs, marketplace motions, resellers, systems integrators, and internal teams. None of those groups report to you directly, but all of them affect whether a deal moves or dies. My job is to understand how those pieces fit together and get them moving in the same direction.

That usually starts before there is even a real opportunity. I try to understand where the momentum already is — which sellers are active, which partners already have credibility, which technical teams are involved, and which funding programs or marketplace motions can reduce friction. From there I build relationships at the individual level with the people who matter most, so that when something surfaces, I'm already in the conversation instead of asking for an introduction at the last second.

I also treat the field map as an engineered asset, not a rolodex — segmented by role, vertical, and geography, deduplicated and enriched on a schedule, because a targeting engine is only as good as its data. Once I'm inside the motion, the work becomes operational: account maps, repeatable co-sell workflows, partner-ready sales assets, clean partner-of-record attribution, and a reporting cadence that shows what's working and what's just noise.

A lot of the best opportunities don't start as clean product sales — they start as ambiguous business problems. In those deals, the work begins with understanding the problem, mapping stakeholders, defining the technical architecture, aligning partner funding, and clearing procurement, often before an SOW exists. That's the part of the work I like most: not just keeping a partnership alive, but creating the conditions for one to work in the first place.

Selected work

Two ecosystems, built from zero

The throughline across both roles: start with no partner-of-record attribution, no field relationships, and no repeatable motion — and leave behind a system that keeps producing pipeline after you've moved on.

Polestar Analytics · U.S. Alliance Lead

IP + services co-sell with Databricks & Microsoft

Polestar is a data/AI consulting firm living inside the Microsoft and Databricks ecosystems. I stood up the U.S. alliance business in the DFW market from a cold start — no attribution, no field relationships, no motion — using Polestar's proprietary IP and the partner ecosystem itself as the raw material.

448+
Accounts mapped
200+
Field contacts under management
15+
Greenfield accounts engaged
8
Phased engagements
The mechanics
01Built the field relationship layer first. Developed 100+ Databricks field relationships — including 27 Account Executives, Sales Directors, and Solutions Architects — across DFW, growing to 200+ contacts under management (107 in Texas, 77 in DFW-metro), segmented by geography, vertical, and role.
02Mapped the territory systematically. 448+ accounts mapped with clean partner-of-record attribution, becoming the primary escalation point for partner-led opportunities — plus a CRM-hygiene discipline (dedupe, geo/vertical enrichment) that kept the targeting engine accurate.
03Drove joint GTM, not just relationships. Took Polestar's AI, data, and knowledge-graph IP to market via ISV co-sell, Solution Accelerators, executive workshops, and AI Days across 15+ greenfield accounts, including Advance Auto Parts, Diageo, Steve Madden, and Medtronic.
04Ran the Microsoft co-sell motion in parallel. Layered ECIF-funded engagements on top of Databricks to drive net-new Azure commitments, built on Azure Databricks and Microsoft Fabric.
05Originated complex, custom solution sales. Delivered an AI correlation engine for a large IT-ITS org (DDC), then reapplied the pattern to FDNY's unified asset intelligence and a NYC knowledge-graph/agentic-AI build — navigating public-sector procurement via an MWBE prime and Microsoft ECIF funding.
06Operationalized the pipeline engine. Ran qualified-opportunity creation through Zoho CRM with standardized deal-source attribution — Partner Sourced, Polestar Sourced-Partner-Influenced, Service/Support — across hundreds of opportunity records and a pursuit list spanning IKEA, Carrier, Guardian Life, L'Oréal, Takeda, JPMC, and more.
Systems built
Alliance operating modelGTM intelligence asset (200+ contacts)Repeatable solution pattern (DDC → FDNY → NYDCC)Public-sector access via MWBE primeZoho CRM pipeline playbook
Additional results
Net-new annual Azure commitments448+ accounts mapped100+ field stakeholders engagedNet-new discovery pipeline (Zoho motion)
Affirma · Austin Market Expansion

Building a multi-partner co-sell ecosystem from zero infrastructure

Affirma was a solid generalist consulting firm and Microsoft Gold Partner — selling to Microsoft, never with them. Austin had none of the infrastructure a territory normally needs: no SDRs, no marketing campaigns, no executive air cover, no established motion. I built the channel partner motion from a blank slate using outbound tooling and a deliberately engineered partner network as the force multiplier.

13
GenAI implementations
29+
Neubird accounts closed
~150
SHI sellers reached
10
Enterprise AI engagements
The closed-loop revenue engine
  1. Build — outbound engine + ecosystem map. ZoomInfo-sourced outbound targeting mid-market enterprise deals, while mapping the TSD/VAR/reseller landscape — SHI, Stratascale, TD SYNNEX — and screening ISVs for Azure IP Co-Sell eligibility.
  2. SHI — zero-margin give-to-get. Routed enterprise licensing deals to SHI sellers at zero commission — a costly signal, not a favor. Reputation spread peer-to-peer to ~150 AEs and AI Solution Advisors with no top-down push.
  3. Stratascale — Prime/Sub co-sell → GenAI line. Trust produced a CTO-level intro; structured a Prime/Sub model where Affirma subcontracted white-labeled Azure delivery into Stratascale's capacity gap — launching a recurring, partner-sourced GenAI services line.
  4. Neubird.ai — ISV alliance, contracted terms. Negotiated a 30% reseller margin, a first-year services-revenue performance gate on Neubird, a 4% max Direct Bill markup, and mandatory warm introductions in both directions.
  5. Marketplace — MPPO bundle → MSFT activation. Packaged ISV license + services into a single-invoice Multiparty Private Offer that retired customer MACC/EDP commitments — turning Microsoft's own field into a source of greenfield introductions.
  6. TD SYNNEX — transactional backend. Ran the 2-tier CSP indirect distribution to keep attribution clean and capture ACR credit, Co-Sell Solution Rebates, MDF, and Marketplace Rewards that self-funded the next GTM cycle.

Stage 6 incentives (MDF · rebates · ECIF) fund the next campaign → loop restarts at Stage 1

Why each partner played
EntityWhat they optimize forWhat I gave upWhat I got back
SHILicense commission on quota-carrying AEsResale commission Affirma could have keptPreferred status across ~150 AEs, organic referrals, the intro that opened Stratascale
StratascaleFSE utilization on Azure-stack demand outside their NVIDIA laneBrand credit — delivery ran under Stratascale's name10 enterprise AI engagements on Azure and a recurring GenAI line
Neubird.aiChannel access for a young ISV productRelationship capital and warm-intro pipeline30% margin, 4% markup cap, and a Y1 performance gate
Microsoft FieldQuota retirement via MACC/EDP drawdownFull quota credit on the marketplace transactionProactive greenfield introductions plus ECIF funding
TD SYNNEXTransaction volume on CSP billing railsA margin slice to the distribution layerOptimized reseller margin and clean PoR attribution on every deal
Governance layer
PoR & deal-tagging SOPsPartner Admin Link / MCPP taggingDirect–indirect reseller linkageTenant governance & provisioningField revenue-share agreements

Core competencies

What I bring to a partner org

Seven areas that show up in every motion I run — from hyperscaler programmatics to the field enablement that makes a co-sell motion actually stick.

01

Cloud provider ecosystems & programmatic governance

  • Hyperscaler co-sell mechanics: Microsoft Co-Sell, Azure IP Co-Sell status
  • Partner Admin Link (PAL), MCPP tagging, Partner-of-Record tracking
  • Tenant governance & multi-tenant provisioning SOPs
  • 2-tier CSP distribution via Indirect Providers
  • Mapping hyperscaler field orgs down to patch and quota
02

Cloud economics & incentive optimization

  • MACC/EDP commitment retirement strategies
  • Hyperscaler quota arbitrage via third-party transactions
  • Incentive stacking: ACR credit, rebates, Marketplace Rewards
  • ECIF subsidy procurement for POC and migration
  • MDF optimization to self-fund campaigns and lead-gen
03

Marketplace architecture & transaction mechanics

  • Multiparty Private Offer (MPO/MPPO) structuring
  • Software + services bundling to scale deal size
  • FinOps-driven procurement alignment via cloud billing consoles
04

Commercial structuring, legal & partner governance

  • Reseller agreement engineering between SIs, ISVs, and VARs
  • Margin & markup guardrails, hard-coded financial terms
  • Enforceable performance clauses (e.g. Y1 revenue floors)
  • White-label services integration inside larger resellers
05

Channel sales ops, GTM intelligence & account triangulation

  • Ecosystem territory mapping across TSDs, VARs, SIs, ISVs
  • Partner-field intelligence systems as a durable GTM asset
  • Cross-company CRM account mapping and white-space analysis
  • Triangulated 4-way co-selling (firm + ISV + VAR + hyperscaler AE)
  • CRM governance & data hygiene as a GTM discipline
06

Field enablement & sales-force multipliers

  • Field toolkits: win wires, joint value props, talk tracks
  • When-to-give / when-to-get operational matrices
  • Warm-introduction scripts and structured prospecting cadences
  • Cross-functional training on deal-tagging compliance
07

High-level enterprise business competencies

  • Greenfield market-entry execution — penetrating untapped accounts by leveraging larger channel partners' brand equity and relationships
  • Ecosystem architecture — building programmatic revenue engines from scratch, from first licensing deal to a durable partner-attributed pipeline
  • Cross-functional stakeholder management — aligning C-suite executives, corporate attorneys, engineering leads, and hyperscaler representatives around a single transactional framework

How I build leverage

I also run my own AI-augmented sales workflow — Claude and Cursor for prospecting, discovery synthesis, proposal drafting, and CRM hygiene; local models for anything that shouldn't leave my machine. It touches every stage, from building the first target account list through steerco decks and CRM updates after close. It's not a novelty — it's how a one- or two-person alliance motion keeps pace with reps who have a full RevOps team behind them.

Related work

Let's talk

Building a channel or alliance motion?

I'm always interested in conversations about partner ecosystems, co-sell strategy, and greenfield market entry. My current role is based in Dallas, TX.