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Product Security Principal- AI Automation

Salesforce

Product Security Principal- AI Automation

Salesforce

India - Bangalore

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Parental Leave

Adoption Assistance

Fertility Benefits

Learning Budget

Volunteer Opportunities

Healthcare

Parental Leave

Learning

Required Skills

AI/ML Engineering

LLMs

Agentic Systems

Python

System Design

Software Engineering

Team Leadership

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

Product

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.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values of Trust, Customer Success, Innovation, Equality, and Sustainability, we help companies across every industry blaze new trails and connect with customers in a whole new way. And we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change, you’ve come to the right place.

Role Summary

We are looking for a visionary, hands-on Principal Software Engineering with deep expertise in AI-driven automation and agentic systems. In this role, you will lead the development of advanced automation capabilities that augment offensive security and security research workflows. You will guide a small, agile team while actively designing, building, and refining orchestrated, multi-step AI-assisted workflows. Your focus will be on creating reliable, explainable, and controllable automation that can reason over complex inputs, coordinate multiple actions, and continuously improve through feedback. While familiarity with model training and tuning is beneficial, your core strength will lie in system design, orchestration, and the operationalisation of AI-driven automation.

Your Impact

System Architecture:

Drive the architecture of agent coordination, task planning, execution, and control mechanisms to ensure predictable and safe operations.

Hands-On Engineering:

Personally contribute to core automation design, orchestration layers, prompting strategies, tool interfaces, and execution logic.

Advanced Automation:

Design and implement orchestrated, agent-based automation capable of reasoning over large data sources, planning multi-step actions, grounding on real-world data, and adapting behavior based on results.

Safety & Control:

Establish human-in-the-loop control points to balance autonomy with expert oversight. Maintain high engineering standards around safety, testing, and change control.

Continuous Improvement:

Define and implement feedback loops that allow automation to improve signal quality, prioritization, and decision-making over time.

Cross-Functional Collaboration:

Partner closely with security experts and engineers to ensure automation aligns with real operational needs, ensuring solutions are scalable, resilient, observable, and explainable.

Required Skills

Experience: 13+ years of overall software engineering experience, with 5+ years specifically in AI/ML engineering or applied AI, featuring proven production systems.

AI Leadership:

Experience leading AI/ML teams operating in complex data environments.

Technical Proficiency:

Hands-on experience with LLMs, agentic frameworks, and internal ML platforms. Strong software engineering skills, including designing modular, extensible systems and working with APIs, services, and distributed components.

Agentic Architecture:

Deep understanding of AI-driven automation and system orchestration, including task planning/decomposition, tool usage, MCP tweaking/development, state management, and memory strategies.

Operationalisation:

Hands-on experience operationalising LLM-based systems beyond simple prompt-response use cases.

Risk & Safety Management:

Ability to reason about failure modes, safety boundaries, and control mechanisms in autonomous or semi-autonomous systems.

Communication:

Strong communication skills with the ability to translate complex systems into clear mental models for technical stakeholders.

Preferred Skills

Background in security engineering, offensive security, or security research.

Experience with model fine-tuning, evaluation, or lightweight training workflows.

Familiarity with large-scale data ingestion and normalisation, signal correlation, and prioritisation systems.

Experience with workflow engines or enterprise automation platforms.

Experience designing systems that operate across large, evolving external surfaces.

Comfort balancing rapid experimentation with operational reliability.

Benefits & Perks

Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

World-class enablement and on-demand training with Trailhead.com.

Exposure to executive thought leaders and regular 1:1 coaching with leadership.

Volunteer opportunities and participation in our 1:1:1 model for giving back to the community.

For more details, visit https://www.salesforcebenefits.com/

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.

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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

Mid/L4

Senior/L5

Mid/L4 · Analyst Business Intelligence

1 reports

$156,823

total / year

Base

$120,633

Stock

-

Bonus

-

$156,823

$156,823

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