Engagement Manager - AI Solutions

Snorkel AI Snorkel AI · Data AI · Redwood City, CA +1 · Remote · 220 - Solutions PS

This role is for an Engagement Manager at Snorkel AI, focusing on leading AI initiatives for enterprise customers. The primary responsibility is to manage the end-to-end delivery of AI projects, from scoping to value realization, by partnering with senior business and technical leaders. The role involves shaping AI/ML use cases, orchestrating cross-functional teams, and launching solutions that deliver measurable business outcomes, with a focus on scaling the Enterprise AI Solutions Practice.

What you'd actually do

  1. Collaborate with data science and engineering teams to shape AI/ML use cases and translate them into well‑defined projects, including proposals and Statements of Work.
  2. Lead the end‑to‑end delivery of enterprise AI projects, ensuring execution on time, within scope and budget, and aligned to business outcomes.
  3. Manage comprehensive project plans and related artifacts to ensure successful delivery and compliance with contractual and financial targets.
  4. Identify expansion opportunities through adjacent use cases, new stakeholders, and additional datasets where Snorkel can deliver outsized value.
  5. Serve as the primary interface between client C‑suite, Snorkel’s technical teams, and Snorkel leadership, orchestrating multiple workstreams to deliver integrated outcomes.

Skills

Required

  • 5+ years in a technical, client‑facing role (e.g., management consulting, professional services delivery, or customer success).
  • Strong background in project delivery and collaborative problem‑solving, ideally within AI/ML initiatives or involving standard AI technologies.
  • Proven ability to understand client objectives, design solutions, and identify value‑aligned growth opportunities.
  • Track record of overseeing a portfolio of engagements, balancing resources and timelines across multiple customer projects.
  • Excellent communication and presentation skills, with the ability to translate complex technical concepts for broad audiences.

Nice to have

  • Advanced degree preferred (MBA or Master’s in computer science, applied statistics, mathematics, or related field).

What the JD emphasized

  • enterprise customers
  • AI/ML use cases
  • end-to-end delivery
  • enterprise AI projects
  • client C-suite