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Sr. Manager, AI Forward Deployed Engineering (AI)
232 900 - 320 200$
Описание вакансии
Текст:
TL;DR
Sr. Manager, AI Forward Deployed Engineering (AI): Leading a customer-facing AI team to deliver professional services engagements, helping customers build and productionize AI applications with an accent on GenAI. Focus on shaping strategic priorities, managing key accounts, and influencing product development.
Location: Remote within the United States, with a strong preference for candidates based in the Eastern or Central time zones. Expect to travel at least once a month.
Salary: $232,900 — $320,200 USD
Company
is the data and AI company, helping organizations unify and democratize data, analytics, and AI.
What you will do
- Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale.
- Develop and expand executive relationships with key customers and partners, acting as a trusted advisor during complex technical engagements and AI transformations.
- Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions.
- Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team.
- Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy.
- Own OKRs for AI-services led accounts, revenue, utilization, and public references.
Requirements
- Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders.
- Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments.
- Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field.
- Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP).
- Proven success in developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements.
- Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML.
Nice to have
- Experience in a customer-facing consulting or professional services leadership role.
- Experience working with .
Culture & Benefits
- Comprehensive benefits and perks to meet the needs of all employees.
- Committed to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
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