Strategic Partnerships Manager
Quick Summary
About Cartesia Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible.
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
About the Role
~1 min readCartesia is seeking a Strategic Partnerships Manager to drive transformational partnerships with enterprise technology companies that can unlock massive revenue growth for Cartesia. This role focuses on developing high impact relationships with priority technology partners including AI platforms and key SaaS companies. You will be responsible for enabling our commercial partners by leading enablement and adoption initiatives that maximize value across our solutions, driving long-term engagement and success.
Power enterprise technology distribution: operationalize partnerships with enterprise technology leaders to deeply embed Cartesia into sales motions and develop joint go-to-market strategies that amplify mutual success
Cultivate relationships: Cultivate and own relationships with business development leaders and individual sales teams within enterprise technology companies.
Create a roadmap for partnership initiatives, including timelines, strategic priorities, KPIs, and performance metrics (e.g. new user growth, revenue growth, product adoption).
Attend and organize events aligned to that partner including technical enablements, sales kickoffs, conferences, and more.
Design and deliver technical training programs for partner engineering teams
5–8+ years of experience in Business Development, Partnerships, or Enterprise Account Management within a fast-paced SaaS or technology-driven environment.
Exceptional communication and relationship management skills, with the ability to influence internal and external stakeholders at all levels. Confident delivering technical enablement and training sessions.
Strong commercial acumen and experience driving adoption, retention, and revenue growth across complex or early-stage products.
Operational program design skills (e.g. onboarding journeys, certification design, QBRs, success plans, playbooks).
Experience maximizing enterprise partner programs such as marketplaces with co-marketing, and co-selling initiatives.
A builder mentality—comfortable operating in ambiguity, scaling processes, and shaping foundational systems for long-term success.
Nice to Have
~1 min readTechnical degree (Computer Science, Engineering, Mathematics, etc.)
Understanding of foundational AI model capabilities and enterprise AI adoption patterns, with insight into how technical capabilities translate to business value
Proven track record of structuring and closing innovative deals involving joint go-to-market, product partnerships, revenue sharing, marketplace models, co-innovation, or other non-standard commercial structures
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore We love being in the office, hanging out together, and learning from each other every day.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- May 13, 2026
- First seen
- May 13, 2026
- Last seen
- May 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- May 13, 2026
Signal breakdown
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