Own a portfolio of high-priority AI-native and enterprise accounts as a Strategic Account Executive at Together AI.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Strategic Account Executive at Together AI is tasked with managing a portfolio of key AI-native and enterprise accounts, focusing on generating pipeline and closing deals. This role demands a strong technical background and experience in navigating complex sales cycles, particularly in inference opportunities. Ideal candidates will have over seven years in B2B technology sales, with a proven ability to engage both technical and business stakeholders. Together AI emphasizes collaboration across teams to tailor solutions and enhance their offerings in a rapidly evolving market.
Quick facts
- How much experience is required?
- At least 7 years of relevant experience for this Strategic Account Executive Inference India role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML.
- What seniority level is this role?
- Together AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Strategic Account Executive Inference India role at Together AI.
From the original posting
About the Role
We’re hiring a Strategic Account Executive (Inference) to own a portfolio of high-priority AI-native and enterprise accounts selling
You’ll be responsible for generating pipeline, closing new business, and expanding customers across Together’s platform. You’ll work with technical teams, business leaders, and executives to understand their AI strategy and identify where Together can support production workloads, and also partner closely with Solutions, Engineering, and Research to run POC evaluations and move customers from initial use cases to broader deployments.
This role requires experience managing complex sales cycles, technical fluency, and a track record of building pipeline and closing large deals.
Responsibilities
- Close deals and drive revenue: own the full sales cycle for strategic AI-native and enterprise accounts, from prospecting through close and expansion.
- Manage and prioritize across multiple complex sales cycles simultaneously. Be able to keep scope defined, while also being flexible in dealing with new challenges and priorities.
- Generate a strong pipeline, identifying high value customer segments/use cases and strategically positioning Together’s offerings.
- Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements.
- Inform product needs by conveying customer needs, using these insights to enhance Together’s offering and market positioning.
- Help improve Together’s sales process, positioning, and overall best practices.
Requirements
- 7+ years of B2B technology sales experience, including experience with strategic startup or enterprise accounts.
- Must have 1-2 years having a track record of closing Inference Opportunities.
- A track record of closing and expanding strategic, complex deals – especially with deep technical/commercial requirements requiring tailored solutions.
- Technical and business fluency: ability to work effectively with both technical and business stakeholders, speaking with depth on technical ML/infrastructure topics while also connecting with business/C-level needs.
- Ability to drive external and internal alignment and a “roll up your sleeves'' mentality to problem solving. Comfort working in a fast-moving environment where the product and market evolve rapidly month over month.
- Ability to build and maintain lasting relationships over time with top strategic accounts – both from an executive and IC level, across technical and commercial orgs.
- A passion and curiosity for AI infrastructure. Be on the frontlines of inference and post-training, and shape the trajectory and narrative moving forward.
Preferred Qualifications
- Experience selling to both AI-native companies and large enterprises
- Experience with developer/AI/infra products preferred
- Experience at a high-growth technology company
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