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Software Engineering Architect - Spiff

Salesforce

Software Engineering Architect - Spiff

Salesforce

Bellevue, WA; San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Generous paid time off and holidays

Professional development budget

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Equity

Learning

Healthcare

Flexible Hours

Required Skills

Python

JavaScript

React

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.
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? Agentforce is the future of AI, and you are the future of Salesforce.

About the Spiff Team:

Spiff, a strategic part of the Salesforce Sales Cloud, is a leader in Incentive Compensation Management (ICM) software, combining intuitive design with a powerful processing engine to drive commissions automation at scale. Our mission is to provide customers with a trusted platform to increase visibility, supercharge selling, and unlock growth. This team is on the front lines of integrating a fast-growing, cloud-native application into the world's leading CRM platform.

The Role:

As a Software Engineering Architect focusing on Spiff, you will be the key technical leader defining and guiding the most critical architectural initiatives for Spiff's platform and services. Your work will directly ensure the massive scalability, seamless platform integration, and AI-driven efficiency of Spiff's compensation platform within the Salesforce ecosystem.
You will be expected to architect solutions across critical domains, from hyperscale infrastructure design and Hyperforce integration to advanced AI/ML systems for product intelligence.

Key Responsibilities:

I. Enterprise Scaling & Hyperscale Infrastructure Architecture

  • Define and lead the technical strategy for Enterprise Scaling across the Spiff platform to onboard extra-large customers and handle massive transactional volume, specifically focusing on Incentive Compensation Management (ICM) calculation performance.
  • Database Tier Scaling: Architect and implement advanced data strategies, including sharding, partitioning, and replication, to enable the database tier to scale horizontally and sustain the immense read/write throughput required by our largest customers.
  • Application Tier Scaling: Design the application architecture to be highly decoupled, elastic, and leverage cloud-native patterns on Hyperforce (Salesforce's public cloud architecture) for high-performance, low-latency service operation.
  • Establish system performance benchmarks and optimization roadmaps to consistently achieve industry-leading processing speed for complex compensation plan calculations.

II.

Core Platform Integration and Adoption:

  • Partner with Salesforce Core Engineering teams to strategically embed Spiff functionality into core and near-core Salesforce components (e.g., Sales Cloud, CRM platform APIs).
  • Define the architecture and protocols necessary to enable easier adoption for existing and new customers by making Spiff's features natively accessible within the Salesforce user experience and data model.
  • Design secure, high-throughput integration patterns (APIs, events, data synchronization) between Spiff's services and the Salesforce platform, ensuring data consistency and adherence to Salesforce security standards.

III.

Gen

AI and ML Architecture for Proactive Insights:

  • Use GenAI and ML architecture to enable proactive insights with respect to sales incentives for customers, such as predicting commission payouts, identifying sales goal misalignment, and recommending optimal compensation plan adjustments.
  • Integrate Spiff's intelligent services with existing agents in the Salesforce Agentic Framework, ensuring the smooth flow of incentive data and calculated commission results to power CRM workflows and user-facing AI assistants.
  • Architect and contribute to the GenAI research team to achieve consistently accurate results by implementing sophisticated data augmentation techniques, including Knowledge Graphs, Retrieval-Augmented Generation (RAG), and Vector Databases, to enhance data context and drive model performance.

Key A

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About Salesforce

Salesforce

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

10,001+

Employees

San Francisco

Headquarters

$243B

Valuation

Reviews

4.0

16 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Competitive compensation packages

Remote work flexibility

Good benefits (headphone/internet reimbursement)

Cons

Ongoing layoffs and job insecurity

Poor refresher/yearly stock grants

Condescending interview processes

Salary Ranges

45 data points

Junior/L3

Junior/L3 · Associate UX Researcher

1 reports

$175,552

total / year

Base

$135,040

Stock

-

Bonus

-

$175,552

$175,552

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Offer Rate

20%

Experience

Positive 20%

Neutral 20%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Interview Panel

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience