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Engagement Manager

Drive the adoption of Reflection’s AI technology across enterprises as an Engagement Manager.

Location
San Francisco, CA
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 4 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 1 day ago

Apply at Reflection AI → Save job Scanned from reflection.ai

Skills & Technologies

Requirements

Experience
5+ years
Visa
Sponsorship available

Not disclosed in this posting: compensation, work arrangement.

Benefits

Team Building Activities Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Engagement Manager at Reflection AI is responsible for overseeing the entire lifecycle of AI deployments within enterprises, from identifying use cases to facilitating organizational change. This role requires a strong understanding of AI/ML concepts and the ability to manage complex stakeholder relationships while delivering technical projects. Ideal candidates have over five years of experience in similar roles and thrive in dynamic environments. Reflection AI emphasizes a collaborative culture, aiming to make intelligence accessible and open for all.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Reflection AI's careers page November 2, 2026.
  • AI/ML appears in 17.3% of 1585 comparable senior management roles.

Quick facts

How much experience is required?
At least 5 years of relevant experience for this Engagement Manager role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
Does Reflection AI sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Reflection AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Engagement Manager role at Reflection AI.

From the original posting

Role Overview

We're looking for an exceptional Engagement Manager to drive the adoption of Reflection’s technology across enterprises. You will own the end-to-end AI deployment lifecycle, from identifying high-value use cases to driving organizational change and scaled adoption. This role blends strategic advisory with hands-on deployment leadership, working closely with Account Executives, Solutions Architects, and Forward Deployed Engineers to deliver measurable business outcomes. The ideal candidate is commercially sharp, AI-fluent, and energized by bringing structure to fast-moving, ambiguous environments.

What You'll Do

  • Support technical discovery sessions to understand customer requirements. Work alongside Solutions Architects and Forward Deployed Engineers to structure strategic engagements, drafting Statements of Work (SOWs) that outline scope, milestones, and success criteria.

  • Enable Forward Deployed Engineers during project delivery by navigating organizational complexity and facilitating access to customer subject-matter experts, systems, and data.

  • Manage customer relationships by maintaining a regular cadence with executive sponsors and technical leads, while surfacing issues and celebrating wins.

  • Lead delivery operations, including sprint ceremonies, milestone reviews, and progress reporting. Translate technical complexity into executive-level updates.

  • Support technical discovery sessions to understand customer requirements and inform engagement design.

  • Support enterprise on-boarding processes by coordinating Reflection's teams to manage security reviews, legal approvals, and procurement processes with account executives.

  • Manage scope and change requests, setting clear expectations and negotiating contract modifications when necessary.

  • Capture customer feedback to inform our research and product development priorities.

What We're Looking For

  • 5+ years of experience in roles such as Engagement Manager, Technical Program Manager, or Deployment Strategist within consulting, technology, or enterprise software.

  • A proven track record of delivering complex technical projects to large enterprise customers.

  • High technical acumen with a solid understanding of AI/ML concepts, software architecture, and enterprise systems.

  • Exceptional stakeholder management skills with experience navigating large organizations.

  • You are energized by ambiguity and have the ability to drive organizational change, guiding customers from initial concept to full-scale adoption.

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.

Standard company text repeated across Reflection AI's postings is omitted here.

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