Sales Partnerships Manager at Adaptive ML expanding strategic partnerships in GenAI for enterprise outcomes. Collaborating with sales teams and defining joint value propositions to drive revenue.
Responsibilities
Own the full partnerships lifecycle, from target identification and outreach through negotiation, launch, and ongoing GTM execution.
Rapidly expand Adaptive ML’s strategic partner portfolio, building on a handful of existing relationships to establish a scaled partnerships motion.
Develop and execute a partnerships strategy focused on consultancies and data platforms, including segmentation, prioritization, and partner-specific plans.
Structure and close complex, multi-million dollar partnership agreements, balancing commercial terms, technical requirements, and long-term strategic value.
Partner closely with Sales Engineers to align technical workflows, integration expectations, and partner enablement for enterprise GenAI deployments.
Build joint GTM plans with partners and internal sales teams, including co-selling plays, training, marketing collaboration, and account mapping.
Track partnership health and outcomes, including pipeline contribution, active co-sell engagement, and post-launch expansion opportunities.
Operate effectively in a fast-moving Series A environment, bringing strong ownership, pace, and pragmatic decision-making.
Requirements
7+ years of experience in partnerships, business development, or strategic sales roles focused on enterprise outcomes.
Deep familiarity with generative LLMs and a strong grasp of what makes enterprise GenAI partnerships successful (technical, commercial, and go-to-market).
Track record of owning and closing multi-million dollar partnerships at continental scale.
Experience leading complex negotiations and deal structuring across multiple stakeholders, including legal, product, and executive teams.
Strong ability to translate technical capabilities into clear partner value propositions, in close collaboration with Sales Engineers and technical teams.
Comfort operating with ambiguity and speed in a high-growth startup environment, with a bias toward action and high-quality execution.
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