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职位Tempus

Customer Success AI Strategy & Agent Development Lead

Tempus

Customer Success AI Strategy & Agent Development Lead

Tempus

Chicago

·

On-site

·

Full-time

·

3d ago

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Position Summary:

As the AI Strategy & Agent Development Lead, you will serve as the technical architect and commercial partner for AI innovation within the Customer Success (CS) organization. This is a high-impact, hybrid role requiring a rare blend of engineering execution and executive presence. You will lead the end-to-end process of agent development—from identifying high-value commercial opportunities to hands-on prompting and maintenance—while acting as the primary spokesperson for AI initiatives to leadership. You will be the bridge between technical "build" teams and the CS organization, ensuring our AI roadmap directly solves for team capacity and physician needs.

Key Responsibilities:

Commercial Partnership & Strategic Prioritization:

  • Workflow Auditing: Partner deeply with CS leads and the Commercial team to map complex workflows, identifying pain points and high-value opportunities for AI agent intervention.

  • Stakeholder Alignment: Lead executive-level presentations and conversations to explain the progress, ROI, and organizational impact of AI agent initiatives.

  • Roadmap Strategy: Guide the prioritization of the AI roadmap by balancing technical feasibility with the most urgent needs of the CS and leadership teams.

  • Change Management: Act as the face of AI transformation, educating internal teams on how agents will augment their roles and improve the physician experience.

End-to-End Agent Development (The "Builder")

  • Hands-on Implementation: Serve as the primary architect for agent development, owning the end-to-end lifecycle including scoping, hands-on prompt engineering, and technical launch.

  • Prompt Engineering: Expertly iterate on LLM prompting to ensure outputs meet the high standards of accuracy and tone required for clinical and commercial excellence.

  • Cross-Functional Unblocking: Identify technical hurdles (data silos, system syncs) and pull in Engineering, Product, or BI teams to provide the necessary infrastructure for your agents.

  • System Integration: Collaborate with Lab data teams to ensure the "Unique Identifiers" (Primary Keys) are sound for agent logic across platforms.

Efficacy, Validation & Maintenance

  • "Ground Truth" Ownership: Establish the "Ground Truth" for every agent to prove to clinical and executive stakeholders that AI outputs are reliable and safe.

  • Performance Monitoring: Proactively identify and mitigate "drift" (e.g., agents failing to recognize new assays) and partner with Engineering for long-term technical fixes.

  • Success Metrics: Define and report on sophisticated KPIs—such as Deflection Rate, CSAT, and Capacity Reclaim—to quantify the commercial impact of your builds.

Qualifications

Education & Experience:

  • Education: Bachelor’s degree in Engineering, Computer Science, or a related technical field.

  • Experience: 3–5 years in a technical strategy, solutions engineering, or AI development role.

  • Leadership: Proven experience leading executive-level conversations and translating complex technical roadmaps for non-technical stakeholders.

Technical Skills:

  • The "Builder" Skillset: Demonstrated experience building and deploying AI agents or automated systems. Strong Prompt Engineering skills are essential.

  • Data Mastery: Advanced SQL skills for data extraction and performance auditing; expertise in Excel/Google Sheets for complex modeling.

  • Nice to Have: Direct experience with Salesforce (SFDC) or similar CRM architecture to understand how agents can best integrate with existing customer workflows.

Core Competencies

  • Commercial Acumen: Ability to understand business drivers and identify how AI efficiency translates into growth and customer retention.

  • Communication: Exceptional presentation skills; ability to command a room and influence senior leadership on technical investments.

Solution Mindset: A proactive approach to troubleshooting "Primary Key" or logic errors and finding technical workarounds.

Chi - $140,000-190,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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关于Tempus

Tempus

Tempus

Public

Tempus AI, Inc. is an American health technology company founded in 2015 by Eric Lefkofsky in Chicago, Illinois. It was established by Lefkofsky soon after his wife was diagnosed with breast cancer.

501-1,000

员工数

Chicago

总部位置

$8.1B

企业估值

评价

3.7

9条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

2.8

职业发展

2.5

管理层

2.3

65%

推荐给朋友

优点

Helping clients/people in need

Good benefits and support

Supportive coworkers and staff

缺点

Poor management and leadership

Time constraints and pressure

Limited training during changes

薪资范围

35个数据点

Junior/L3

Junior/L3 · Customer Service

0份报告

$56,840

年薪总额

基本工资

-

股票

-

奖金

-

$48,314

$65,366

面试经验

53次面试

难度

3.5

/ 5

时长

14-28周

录用率

39%

体验

正面 64%

中性 26%

负面 10%

面试流程

1

Phone Screen

2

Technical Interview

3

System Design

4

Behavioral

5

Team Fit

常见问题

Tell me about a challenging project

System design question

Coding problem

Why this company