AI & Legal Solutions — Customer Success Manager (AU)

Thomson Reuters

Australia

Hybrid

AUD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible work policies
Mental health days
Headspace app
Tuition reimbursement
Employee incentive programs

Job summary

Thomson Reuters Australia is seeking a Customer Success Manager to own outcomes for a portfolio of Australian clients using AI solutions. You will translate business goals into measurable success plans, drive adoption from first value to scaled rollout, and build executive relationships that enable renewals and expansion.

You’ll combine consultative leadership, project management, and data-driven execution to embed AI into legal workflows.

Qualifications

  • 3+ years practising in a law firm or in-house team.
  • 4+ years in Customer Success / Account Management / Implementation in B2B SaaS.
  • Experience with legal software solutions.
  • Customer experience management (onboarding, success planning, retention).
  • Cross-functional collaboration and stakeholder engagement.

Responsibilities

  • Build and maintain multi-threaded relationships with legal and executive stakeholders.
  • Lead onboarding and implementation end-to-end for AI solutions in Australia.
  • Quantify ROI and drive adoption through measurable success metrics.
  • Manage a portfolio of national law firms and corporate legal departments.
  • Coordinate with cross-functional teams to support trials and renewals.

Skills

Law firm experience
Customer success
B2B SaaS
Stakeholder management
Product/technical aptitude
Australian market knowledge
Travel readiness

Job description

Thomson Reuters Australia is seeking a Customer Success Manager to own outcomes for a portfolio of Australian clients using AI solutions. You will translate business goals into measurable success plans, drive adoption from first value to scaled rollout, and build executive relationships that enable renewals and expansion.

You’ll combine consultative leadership, project management, and data-driven execution to embed AI into legal workflows.

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