トレンド企業

Salesforce
Salesforce

The Customer Company - CRM + Data + AI + Trust

Director of Engineering – Customer Identity and Data Graphs

職種エンジニアリングマネージャー
経験ディレクター級
勤務地Washington - Seattle
勤務オンサイト
雇用正社員
掲載2ヶ月前

報酬

$197,300 - $313,700

応募する

福利厚生

健康保険

メンタルヘルスサポート

401k

必須スキル

Data Engineering

Search Technology

Vector Databases

Python

Java

Scala

Apache Spark

Team Leadership

AI/ML Infrastructure

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are seeking an innovative and technically grounded Engineering Leader to spearhead the development of highly available data stores for application development. In this role, you will be the primary architect and engineering leader for the highly available data graph powering personalized experiences and real-time data retrieval. You will lead a specialized team of engineers to bridge the gap between raw data infrastructure and the intelligent, agentic systems that drive Customer Success.

What You’ll Do

  • Architect Customer-centric identity graphs: Design and implement views of user and customer-level insights

  • Lead Data Development: Oversee the creation of the metrics and pipelines necessary for developing a critical suite of highly available metrics.

  • Team Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering technical excellence and career growth.

  • Strategic Roadmap: In partnership with product managers, define the technical vision for customer data graphs, aligning product strategy with emerging technologies and technical feasibility.

  • Operational Excellence: Establish rigorous standards for data quality, latency, and on-time delivery to build trust in product..

  • Cross-Functional Collaboration: Partner with Decision scientists, Data Scientists, Product Managers, and the other engineering leaders to translate complex business needs into scalable technical solutions.

  • Automation and Integration: Develop event-driven architecture to ensure lowest latency is available, and automate pipelines for data delivery

What We’re Looking For

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, AI, or a related field.

  • Professional Experience: 10 years in engineering, with a significant focus on search technology, vector databases, data engineering, and AI/ML infrastructure.

  • Technical Proficiency:

  • Deep expertise in Search Indices (e.g., Pinecone, Milvus, Redis).

  • Experience with Workflow Orchestration tools like Airflow or dbt.

  • Strong programming skills in Python, Java, or Scala, and experience with data frameworks like Spark and Pandas/Polars.

  • Hands-on experience with Cloud Platforms (AWS, Azure) and modern data warehousing (BigQuery, Redshift, Data Cloud).

  • Hands-on experience with the Salesforce ecosystem (Data360, Agentforce, Service Cloud, etc.).

  • Customer-Centric Metrics: Understanding of Customer Identity Resolution, one to many metric reconciliation, and low latency data streams.

  • Soft Skills: Exceptional ability to communicate complex technical concepts (graph databases or event-driven architecture) to non-technical stakeholders.

  • Leadership Track Record: Proven experience managing engineering teams in a fast-paced, enterprise environment.

Why Join This Team?

You will play a pivotal role in building out Salesforce as an Agentic Enterprise. By building the components that power our agents, you are directly responsible for the operational efficiency and success of our internal stakeholders and global customers.

In office expectations are 10 days/a quarter to support customers and/or collaborate with their teams.

Unleash Your Potential:

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement:

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $197,300 - $313,700 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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0

応募クリック

0

Mock Apply

0

スクラップ

0

Salesforceについて

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

従業員数

San Francisco

本社所在地

$243B

企業価値

レビュー

10件のレビュー

4.3

10件のレビュー

ワークライフバランス

3.2

報酬

4.5

企業文化

4.6

キャリア

4.2

経営陣

4.1

78%

知人への推奨率

良い点

Great benefits and high salary

Excellent work culture and supportive management

Career advancement and development opportunities

改善点

Work-life balance challenges and long hours

High-pressure environment with heavy workload

Fast-paced environment with high expectations

給与レンジ

50件のデータ

Mid/L4

Senior/L5

Mid/L4 · ANALYST BUSINESS INTELLIGENCE

1件のレポート

$156,823

年収総額

基本給

$120,633

ストック

-

ボーナス

-

$156,823

$156,823

面接レビュー

レビュー4件

難易度

3.0

/ 5

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Assessment

5

Virtual Technical Interview

6

Onsite/Final Interview Loop

7

Manager Interview

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience