Description review
AI Outcomes Manager
DevRev · Australia · back to the listing
HR standards
55/100
needs work
Title ↔ description
53/100
needs work
Reads as
Customer Success Manager
100% confident
What this role officially is
client relations manager — ESCO, the EU occupation classification
Client relations managers act as the middle person between a company and its customers. They ensure that the customers are satisfied by providing them with guidance and explanation on their accounts and services received by the company. They also have possible other tasks such as developing plans or delivering proposals.
Also known as: customer service executive, client service manager, client relationship manager, customer service representative, consumer relations manager, client manager
How others title the same work
Large employers
- Customer Solutions Manager, EDU & SLG Western Region - CSM Amazon.com
- Technical Account Manager, Newspack Automattic
- Customer Success - Team Manager Canonical
- Enterprise Customer Success Manager (Japanese speaker) Canonical
- Graduate Customer Success Manager Canonical
Startups
- Manager / Director of Customer Success Craniometrix
- Founding GTM - Deployment Strategist Credal.ai
- Deployment Strategist (Munich Office) Dataleap
- Founding Customer Success Manager Clicks Health
- Founding Deployment Strategist Closure
What the listing never says
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
About DevRev
At DevRev, 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, DevRev is trusted by global companies across industries.
About the role
The AI Outcomes Manager is DevRev's unified post-sales owner — bringing Customer Success and Customer Support together into a single role. Instead of handoffs between siloed teams, you own accounts end-to end: resolving issues, driving adoption, managing escalations, 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 on what 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 you leverage AI to scale across a full portfolio.
What you'll own
Your portfolio — a book of enterprise and growth accounts under single, accountable ownership. 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. DevRev · 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 into proactive outreach.
— Run enablement sessions; compare entitlements to actual usage and close adoption gaps.
— Translate usage into business value (time saved, cost avoided, deflection); build the roadmap 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 RCA reports and QBR materials.
— AI-native — you embrace AI as your operating layer, actively train the model, and measure your own leverage.
— Commercially aware — you understand ACV, track utilization, spot expansion signals, and connect usage to renewal confidence.
— Comfortable with ambiguity — this is a new operating model; you'll help shape it, not just follow playbooks.
— Deep in at least one domain — with the ability to cross-train and advise.
Qualifications
— Minimum a B.Tech (or equivalent bachelor's degree in engineering / technology), or a postgraduate degree in management (MBA or equivalent).
— 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or TAM).
— Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
— Background in fintech, enterprise SaaS, or high-volume support environments preferred.
— Experience across both support and success motions is highly valued.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
At DevRev, 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, DevRev is trusted by global companies across industries.
About the role
The AI Outcomes Manager is DevRev's unified post-sales owner — bringing Customer Success and Customer Support together into a single role. Instead of handoffs between siloed teams, you own accounts end-to end: resolving issues, driving adoption, managing escalations, 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 on what 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 you leverage AI to scale across a full portfolio.
What you'll own
Your portfolio — a book of enterprise and growth accounts under single, accountable ownership. 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. DevRev · 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 into proactive outreach.
— Run enablement sessions; compare entitlements to actual usage and close adoption gaps.
— Translate usage into business value (time saved, cost avoided, deflection); build the roadmap 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 RCA reports and QBR materials.
— AI-native — you embrace AI as your operating layer, actively train the model, and measure your own leverage.
— Commercially aware — you understand ACV, track utilization, spot expansion signals, and connect usage to renewal confidence.
— Comfortable with ambiguity — this is a new operating model; you'll help shape it, not just follow playbooks.
— Deep in at least one domain — with the ability to cross-train and advise.
Qualifications
— Minimum a B.Tech (or equivalent bachelor's degree in engineering / technology), or a postgraduate degree in management (MBA or equivalent).
— 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or TAM).
— Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
— Background in fintech, enterprise SaaS, or high-volume support environments preferred.
— Experience across both support and success motions is highly valued.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.