Microsoft Partner Sales Manger

Owns Microsoft Azure channel sales, co-sell pipeline, forecasting, field relationships, and repeatable partner sales plays for Fireworks AI. The role requires 7+ years in GTM, partnerships, or field sales plus fluency in AI inference infrastructure and Microsoft’s partner ecosystem.

About the job

Responsibilities

Pipeline and Revenue

Source and own a pipeline target through the Microsoft Azure channel.
Co-sell qualified opportunities with Microsoft ISV and enterprise AEs and PDMs.
Run weekly forecasting cadences with accurate CRM hygiene and clear escalation visibility.

Team Mapping and Stakeholder Management

Build and maintain a living map of Microsoft's field organization across ISV- and enterprise-facing teams.
Develop working relationships with PDMs, field AEs, and ISV partner managers at Microsoft.
Serve as Fireworks AI's primary point of contact for joint business reviews, pipeline reviews, and co-sell coordination.

Sales Plays and Enablement

Develop sales plays tailored to ISV and enterprise motions.
Build and deliver enablement for Microsoft field sellers on Fireworks AI.
Design intake, escalation, and co-sell workflows that keep deals moving.

Joint Planning and Operations

Own joint business planning with Microsoft counterparts, including territory plans, account maps, co-sell targets, and QBR cadences.
Coordinate co-marketing activities such as joint events, solution briefs, and field plays.
Surface field intelligence from Microsoft conversations to Fireworks AI's product and go-to-market teams.

Requirements

7+ years in GTM, partnerships, or field sales at a technology company.
Experience operating quickly and adapting in changing environments.
Knowledge of Microsoft's field organization, including account teams, SSPs, GBBs, marketplace mechanics, co-sell programs, MACC spend, and partner incentives.
Ability to build systems, document motions, create playbooks, and make processes repeatable.
Experience owning pipeline sourcing, progression, forecasting, and forecast accuracy.
Clear and concise communication skills, with the ability to translate complex platform capabilities into customer-facing value stories.
Working fluency in model serving, inference optimization, and AI training infrastructure.
Ability to hold credible technical conversations with solutions architects and technical evaluators.

Nice to Have

Experience working at or within a hyperscaler partner ecosystem, such as Microsoft, AWS, or Google Cloud.
Experience selling or partnering in AI/ML infrastructure, model serving, or MLOps.
Experience working with ISVs at the platform layer, including build-versus-buy decisions and procurement dynamics.
A varied, scrappy, or non-linear career background.

Compensation and Benefits

Annual salary: $200,000–$220,000.
Opportunity to work on AI infrastructure, low-latency inference, and scalable model serving.
Ownership and direct impact in a fast-growing team.
Collaboration with engineers and AI researchers.

Skills

Microsoft Azure, Azure Foundry, Microsoft Marketplace, Co-Selling, CRM, Forecasting, Model Serving, Inference Optimization, Ai Training Infrastructure, MLOps, Ai/Ml Infrastructure, Joint Business Planning