AI Engagement Manager

Resolve AI•San Francisco, CA

22d

About The Position

At Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building. Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware. We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford). As an AI Engagement Manager, you’ll own the success of Resolve AI's largest customers, leading fast-moving, high-impact deployments that transform how engineering teams work. You’ll run point on execution, from daily project scrums to technical onboarding, testing, rollout, and ongoing adoption. You’ll build strong relationships across engineering, product, and the C-suites, turning insights into action and value into measurable ROI. You'll drive adoption, align stakeholders, and shape the outcomes that matter most to our customers and to Resolve AI’s growth. This role is high velocity, high visibility and high impact.

Requirements

4+ years in Customer Success, Solutions Engineering, Technical Account Management or a related role in a SaaS environment.
Strong technical foundation — comfortable navigating cloud infrastructure, observability stacks, APIs, integrations. Background in observability, incident-management, monitoring, or GenAI tooling.
Excellent communicator — able to present to technical and non-technical audiences, including executives.
Metrics-driven mindset — experience defining, tracking, and improving KPIs (e.g. WAU, NRR, usage growth).
Proven track record of driving adoption, turning around at-risk accounts, or leading expansion.
Experience building trust and working cross-functionally with product, sales, and engineering teams.

Responsibilities

Track and own customer health across key dimensions: executive sentiment, user sentiment, adoption metrics, investigation quality.
Oversee the successful execution of a portfolio of enterprise-scale projects, ensuring they meet business objectives and drive measurable impact.
Operate at maximum velocity- embrace a high-speed, dynamic environment where priorities can shift, requiring quick thinking and adaptability.
Run daily project scrums, engage in planning, requirements gathering/refinement, product management, testing, evals, deployment, etc, whatever is needed to drive execution forward.
Build relationships with engineers, product users, and executive stakeholders — align success metrics across levels.
Lead technical onboarding, training, support, rollout, and expansion for new customer environments and teams.
Drive adoption through data-driven interventions: monitor usage, sentiment, and feedback signals.
Deliver Business Value Assessments (BVAs) and Quarterly Business Reviews (QBRs) that quantify ROI (e.g. MTTI reduction, time saved).
Surface product insights and customer needs to engineering and product teams; influence roadmap based on voice-of-customer.
Identify and act on expansion opportunities (new use cases, teams, environments) in collaborating closely with Account Executives and flagging issues early.