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Senior/Staff Software Engineer - Slack Search & AI

Salesforce

Senior/Staff Software Engineer - Slack Search & AI

Salesforce

Israel - Tel Aviv

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Parental Leave

Learning Budget

Healthcare

401k

Parental Leave

Learning

Required Skills

Full-stack Engineering

Backend Engineering

Distributed Systems

GenAI

RAG

LLM

Vector Databases

Hacklang

React

Redux

LLM Evals

Prompt Engineering

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.

About Salesforce & Slack:

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Slack is the AI-powered core of this transformation. We take scale seriously: at peak usage, a million messages a minute pass through Slack, and our users spend over a billion minutes a day in the product. We are looking for technical leaders to help us define the Agentic Era of work.

About the Team: Search & AI Israel

Be part of our Tel Aviv team (Azrieli Sarona Tower) building the intelligence behind Slackbot. With 13 engineers today and plans to double by year-end, you'll help shape both the product and the team as we scale.

We aren't just experimenting with GenAI; we are shipping it at a massive scale. Our work spans the entire stack, from building high-performance RAG systems to fine-tuning the UI/UX that makes AI feel like a natural teammate. We operate with a startup energy within Slack, moving fast across various GenAI technologies, embeddings, and complex evaluation frameworks.

The Technical Landscape:

  • The Stack: We build primarily in Hacklang (backend) and React/Redux (frontend).

  • GenAI & Search: Working extensively with LLMs, embeddings, and Solr as our Vector Database to power advanced RAG workflows and Agentic Search.

  • The Mission: You will lead the development of tools and capabilities that allow Slackbot to act, discover, reason, and assist users across millions of workspaces.

What You’ll Do:

Lead the evolution of Slack into an agentic operating system for the enterprise - creating the platform where organizations build, deploy, and orchestrate their AI agents and workflows.

  • Architect AI Systems: Lead the design and implementation of end-to-end GenAI features, focusing on RAG architectures and integrating Solr for vector & keyword search at scale.

  • Full-Stack Leadership: Drive technical excellence across the stack, writing robust code in Hacklang, while ensuring our React/Redux frontends are performant and intuitive.

  • LLM Strategy & Evals: Own the lifecycle of LLM integration. This includes prompt engineering, managing embeddings, and building the evaluation frameworks necessary to ensure our models are accurate, safe, and helpful.

  • Technical Mentorship: As an SMTS/LMTS/PMTS, you will set the bar for engineering quality, performing deep code reviews, mentoring senior engineers, and influencing the broader Search & AI roadmap.

  • Collaborative Innovation: Work at the intersection of product, data science, and infrastructure to bring all over the place GenAI tech into a cohesive, polished user experience.

What We’re Looking For

  • Senior Technical Depth: Substantial experience (typically 7-12 years) in full-stack or backend-heavy engineering. You have a track record of shipping complex, distributed systems.

  • GenAI Expertise: You are deeply familiar with the modern AI stack. You understand how to optimize RAG pipelines and have hands-on experience with Vector Databases (like Solr, Pinecone, or Milvus).

  • Polyglot Mindset: An engineer who enjoys writing in multiple programming languages—such as Hack, Python, and Swift—and is comfortable handling both frontend and backend tasks while transitioning seamlessly between them.

  • Data & Evaluation Rigor: You don't just hope the LLM works; you know how to measure it. Experience with LLM evals and data-driven iteration is critical.

  • Leadership & Location: You thrive in a collaborative office environment. This role is based in our Tel Aviv hub, and we are looking for leaders who can help foster the local engineering culture.

  • Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.

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

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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