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Client Partner

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Published
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1Application actions
16 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Appen is seeking a Client Partner to own strategic client relationships and ensure successful delivery of AI data and LLM-related projects. The role combines client-facing project management with commercial account growth, including defining delivery approaches, staffing, pricing considerations, budgets, risks, and success measures. The successful candidate will coordinate cross-functional teams, manage changing scopes and stakeholder expectations, and use performance reviews to improve retention and outcomes. This is a full-time remote role available in Brazil and Spain, requiring at least two years of relevant experience in AI, data, technology solutions, consulting, account growth, or project management.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires balancing delivery execution, commercial performance, and senior client relationships across evolving AI-data engagements. Success depends on independently navigating scope changes, financial tradeoffs, technical concepts, and cross-regional stakeholder coordination.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$90,000
US market range$70k–$115k
AI insightNo actual salary is disclosed in the posting. The estimated US-market annual base-salary range for a mid-level Client Partner / client-facing project and account manager in AI or data services is approximately $70,000–$115,000 USD, with an estimated midpoint of $90,000 USD; actual compensation may vary by location, variable pay structure, and account scope.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you handle a client request that expands project scope after delivery has begun?

I would first clarify the requested outcome, assess its impact on timeline, staffing, quality, budget, and risks with the internal team, and document the findings. I would then present clear options to the client, obtain agreement on any revised scope or commercial terms, and update the delivery plan and stakeholders.

Describe how you would build credibility with a client in an AI data project when you are not the deepest technical expert.

I would learn the client’s objectives, model-use case, quality expectations, and risks, then translate those needs into actionable delivery requirements for specialists. I would be transparent about technical questions requiring expert input, bring the right internal partners into discussions, and maintain trust through reliable follow-through and clear communication.

What metrics would you use to evaluate the health of a client engagement?

I would monitor delivery against milestones, budget and margin, scope stability, quality performance, risks and issue resolution, stakeholder sentiment, renewal likelihood, and opportunities for expansion. Post-project reviews would combine these measures with client feedback and business impact to identify improvements.

How do you identify opportunities to grow an existing account without compromising current delivery?

I would begin with the client’s strategic priorities and results from the active engagement, looking for adjacent needs where Appen can create measurable value. I would partner with Sales and Marketing on a targeted proposal while ensuring the delivery team has the capacity and plan to sustain excellent execution on the current work.

How would you manage communication across clients and internal teams in different regions and time zones?

I would establish a communication cadence, define owners and escalation paths, and maintain concise written records of decisions, actions, risks, and changes. I would use overlapping working hours for critical discussions while relying on structured asynchronous updates to keep every stakeholder aligned.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

About the Role

As a Client Partner, you’ll build and nurture high-value client relationships while ensuring the successful delivery of AI data projects. You’ll act as a trusted advisor, connecting client objectives to project execution and coordinating internal teams to deliver strong outcomes.

You’ll also help grow client accounts by identifying new opportunities, expanding project portfolios, and ensuring engagements are delivered profitably.

Your Impact

  • Serve as a primary point of contact for key client stakeholders throughout the engagement.
  • Define project approaches, deliverables, staffing needs, pricing considerations, and success criteria with internal teams.
  • Manage scope, timelines, budgets, risks, and changes throughout the project lifecycle.
  • Identify opportunities to expand services and renew engagements in partnership with Sales and Marketing.
  • Lead performance and post-project reviews to evaluate business impact and strengthen future engagements.

Success in this role means clients see us as a trusted partner, projects deliver against expectations, and relationships contribute to retention, NPS, and sustainable revenue growth.

What You Bring

  • Experience managing client relationships and projects in a professional AI, LLM, data, or related technology solutions environment.
  • Relevant degree or equivalent professional experience (min 2+ years).
  • Experience managing project scope, budgets, timelines, deliverables, and stakeholder expectations.
  • Comfortable engaging with technical concepts in AI and data, and proactive about staying current on industry trends.
  • Strong commercial and analytical skills, with the ability to evaluate opportunities and support profitable growth.
  • Excellent written and verbal communication skills, with the ability to influence stakeholders and communicate complex information clearly.
  • Ability to adapt to changing priorities and evolving client needs.
  • Experience in project management, account growth, or strategic consulting.
  • Comfort working with revenue/margin data and forecasting tools (e.g., Excel, pipeline systems) to produce and maintain accurate forecasts.
  • Willingness to adjust working hours to maintain meaningful overlap with clients and colleagues across regions.

Compensation

Additional Information

Why You’ll Love Working Here

At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.

You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

About Appen

Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

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