AI Outcomes Manager

About Dev Rev

At Dev Rev, we’re building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work.

We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, Dev Rev is trusted by global companies across industries.

About the role
The AI Outcomes Manager is Dev Rev’s unified post-sales owner — bringing Customer Success and Customer Support together into a single role. Instead of handoffs betweensiloed teams, you own accounts end-to end: resolving issues, driving adoption, managingescalations, and making sure customers extract measurable value from what they bought.
You manage each account by its health and needs — proactively spotting risk and opportunity — rather than by whether a given interaction is labelled “support” or “success.”AI is your multiplier, not a tool you use on the side. Our AI agent handles first-line triage,ticket classification, routing, knowledge retrieval, and deflection — so you can focus onwhat AI can’t do: complex judgment, strategic enablement, relationship building, and
driving outcomes. You’ll be measured not just by what you do directly, but by how well youleverage AI to scale across a full portfolio.

What you’ll own

Your portfolio — a book of enterprise and growth accounts under single, accountableownership. The model protects depth over volume.
The customer relationship, end-to-end
— Own accounts from implementation and go-live through adoption, renewal health, and expansion.
— Be the customer’s single point of trust — no handoffs, in good times and bad.
— Stay accountable for the outcome even when another team is responsible for the underlying work (“more accountability, less responsibility”).

Implementation & go-live
— Align on scope, success criteria, and the value the customer is buying before kickoff.

Dev Rev
· Customer Experience — Customer Outcomes 1
— Validate what was sold against what’s feasible; close gaps and secure sign-off.
— Own go/no-go readiness — flag risk and hold the line when a launch isn’t ready.

Ticket lifecycle, powered by AI
— Respond within SLA — AI drafts, you review and personalize.
— Validate and correct AI’s classification and severity; your corrections train the model.
— Own tickets through resolution; decide workaround vs. code fix and route to engineering while staying the owner.

Adoption & value
— Track usage trends and flag drops early using AI anomaly signals; turn them intoproactive outreach.
— Run enablement sessions; compare entitlements to actual usage and close adoptiongaps.
— Translate usage into business value (time saved, cost avoided, deflection); build theroadmap into every business review.

Relationship & commercial
— Keep relationships multi-threaded and engage executive sponsors.
— Act on account signals before the customer raises a problem.
— Run renewal reviews ahead of expiry; source and flag expansion opportunities to Sales.

Who we’re looking for
— Technically oriented and AI-capable — comfortable with APIs, tracing issues, and explaining root causes to both engineers and customers.
— An owner — you can carry a large B2B portfolio end-to-end, from ticket resolution through business reviews.
— A strong communicator — you run customer calls confidently and write clear RCAreports and Q  materials.
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