Deployment Strategist (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Deployment Strategist (AI): Driving AI transformation at Global 2000 enterprises, acting as the "Field CPO" for strategic customers with an accent on translating business needs into deployable product capabilities. Focus on bridging customer outcomes and product reality, building prototypes, and influencing cross-functional teams to drive successful AI deployments.
Location: New York Office
Salary: $220,000 - $255,000 USD
Company
's mission is to make every customer conversation feel effortless for both customers and the companies serving them by shaping the foundation of a new era in customer experience with agentic AI.
What you will do
- Drive AI transformation at Global 2000 enterprises, ensuring their success.
- Manage stakeholders across business and tech, owning deployment from value thesis through production to expansion.
- Translate customer needs into reusable platform features, not one-off customizations.
- Build prototypes, make product changes, and create business plans hands-on.
- Represent customers to Product and vice versa, bridging both worlds.
- Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
Requirements
- 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with customer-facing delivery.
- “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
- Business + tech stakeholder leadership: presented to C-suite across business and tech functions.
- Product thinking: built client-specific roadmaps aligned with platform strategy.
- Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
- Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
Nice to have
- Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software.
- Industry-changing companies: worked at companies that transformed their industry.
- Hypergrowth experience: thrived in fast-scaling environments.
- Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
- Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
- AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
Culture & Benefits
- Ownership means being accountable for outcomes, not just tasks.
- Fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
- Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital.
Hiring process
- TA Screen → Hiring Manager Call → Case Study (take-home) → Case Study Presentation → Bar Raiser Interview
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