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Slack
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About Slack
Founded in2009 (16 yrs old)
India Employee Count--
Global Employee Count--
HeadquartersSan Francisco,California, United States
Office Locations
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Websiteslack.com
Primary Industry
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Compare Slack with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | - based on 0 reviews | 3.9/5 based on 11k reviews | 4.1/5 based on 25.7k reviews | 4.1/5 based on 6.4k reviews |
Highly Rated for | - | Skill development Job security Company culture | Company culture Salary Work-life balance | Company culture Work-life balance Salary |
Critically Rated for | - | Promotions | No critically rated category | Promotions |
Primary Work Policy | - | Work from office 61% employees reported | Permanent work from home 46% employees reported | Permanent work from home 40% employees reported |
Rating by Women Employees | - no rating available | 3.8 Good rated by 2k women | 4.1 Good rated by 8.2k women | 4.1 Good rated by 2.2k women |
Rating by Men Employees | - no rating available | 4.0 Good rated by 8.1k men | 4.0 Good rated by 15.2k men | 4.0 Good rated by 4k men |
Job security | - Data not available | 3.8 Good | 3.7 Good | 3.7 Good |
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Slack Salaries
Software Engineer
(7 salaries)
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₹30 L/yr - ₹80 L/yr
Senior Engineering Manager
(4 salaries)
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₹67 L/yr - ₹1.1 Cr/yr
Senior Engineer
(3 salaries)
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₹25 L/yr - ₹30 L/yr
Software Developer
(3 salaries)
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₹40.3 L/yr - ₹45 L/yr
Senior Software Engineer
(2 salaries)
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₹35.6 L/yr - ₹45.4 L/yr
Technical Lead
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₹52.3 L/yr - ₹57.8 L/yr
Engineering Manager
(2 salaries)
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₹72.7 L/yr - ₹80.3 L/yr
Product Developer
(1 salaries)
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₹2.9 Cr/yr - ₹3.2 Cr/yr
Sales Development Representative
(1 salaries)
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₹7.7 L/yr - ₹9.8 L/yr
Software Engineer II
(1 salaries)
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₹34 L/yr - ₹43.4 L/yr
Slack News
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ChatGPT connecting to your Google Drive and Slack sounds like a remote work game-changer
- OpenAI is developing a new feature called ChatGPT Connectors.
- Connectors would integrate Google Drive and Slack to address user queries.
- The tool respects user permissions, relying only on data accessible to the user.
- ChatGPT Connectors aims to improve accessibility of shared work resources for users.
Androidauthority | 18 Mar, 2025
Fathom Review: The Best AI Tool for Instant Meeting Recaps?
- Fathom AI is a game-changing tool that automatically records, transcribes, and summarizes meetings with impressive accuracy, seamlessly integrating with Zoom, Google Meet, and Microsoft Teams.
- It helps professionals reclaim time by focusing on conversations and driving results rather than note-taking.
- The tool offers features like transcription accuracy between 85% and 90%, quick highlighting of key points, and easy searching of past meeting details.
- Fathom offers unlimited recordings, transcriptions, and storage, along with seamless integration with tools like Salesforce and Slack.
- However, Fathom only transcribes live meetings and requires its presence during the meeting, which could be seen as intrusive.
- Potential privacy concerns exist despite implemented privacy measures.
- Fathom caters to professionals, students, researchers, content creators, remote workers, teams, consultants, salespeople, and customer success teams.
- Fathom employs advanced NLP for transcription and summarization, with features like Ask Fathom for interaction, customizable templates, and video clip sharing.
- It supports 28 languages, integrates with major video conferencing platforms, and offers features like real-time transcripts and CRM syncing.
- Fathom provides an easy setup process and a user-friendly interface but may have some minor navigational challenges initially.
Unite | 17 Mar, 2025
The Key to SaaS Success: Product-Led Growth!
- The Key to SaaS Success: Product-Led Growth!
- PLG in the SaaS sector lowers customer acquisition costs and improves user retention and lifetime value.
- Dropbox and Slack are successful examples of SaaS companies that have implemented PLG.
- PLG allows SaaS companies to drive customer acquisition and retention through the value of their product and user experience.
Medium | 16 Mar, 2025
MCP: The Universal Standard Making AI Systems Talk (And Why Big Tech Is Betting Everything On It)
- The Model Context Protocol (MCP) has emerged as the universal translator for artificial intelligence, redefining what integrated AI systems can achieve.
- AI systems face integration nightmares where they are trapped in silos, leading to technical debt, context collapse, redundant computation, and integration bottlenecks.
- MCP, introduced by Anthropic, standardizes the exchange of information, context, and capabilities among AI systems, with major platforms like GitHub and Slack adopting it.
- MCP accelerates integration timelines, ranging from basic connections to enterprise-level integrations, making custom API integrations outdated.
- MCP utilizes Context Containers, Semantic Bridges, and Intent Frameworks to enable seamless communication and transfer of understanding among AI models.
- MCP unlocks new applications like cooperative content creation, distributed reasoning networks, and self-improving systems, revolutionizing AI capabilities.
- The integration arms race favors organizations moving to MCP, providing agility, cost savings, and readiness for future AI innovations.
- Silicon Valley is heavily investing in MCP, with a roadmap for remote support, agent workflows, and ecosystem development, foreseeing traditional REST APIs becoming obsolete by 2027.
- MCP represents a paradigm shift in AI integration, eliminating technical debt, and offering a foundation for truly connected AI systems.
- By embracing MCP, organizations set the stage for collaborative, reasoning, and creative AI systems that mirror human collective intelligence.
- The question is not whether to adopt MCP but when, as its impact reshapes the AI landscape and differentiates early adopters from laggards.
Hackernoon | 13 Mar, 2025
How Agentic AI Could Revolutionize SaaS MVPs with Adaptive Features
- Agentic AI is poised to revolutionize SaaS MVPs by offering adaptive features that help applications evolve based on user behavior and real-time data.
- Traditional SaaS solutions lack adaptability, but with Agentic AI, SaaS applications can autonomously learn, optimize, and enhance user experiences without manual intervention.
- Agentic AI's impact spans from personalized dashboards to predictive analytics, aiding in reducing churn, boosting retention, and achieving faster product-market fit.
- SaaS MVPs, crucial for validating ideas and minimizing risks, can benefit significantly from Agentic AI, enabling dynamic feature enhancements and real-time optimization.
- Successful case studies like Dropbox, Slack, and Stripe demonstrate the effectiveness of MVPs in SaaS development, emphasizing core functionalities and continuous iteration.
- Agentic AI enhances SaaS MVPs by offering personalized user experiences, dynamic pricing models, real-time data analytics, automated customer support, and adaptive user interfaces.
- It also improves real-time collaboration, customizable dashboards, contextual onboarding processes, and adaptive security protocols, ensuring scalable and responsive MVPs.
- By leveraging Agentic AI in SaaS MVP development, businesses can validate ideas faster, prioritize features effectively, accelerate prototyping, and automate testing and user feedback collection.
- Additionally, Agentic AI aids in iterative improvements, scalability planning, launch and monitoring, and continuous iteration, ensuring that SaaS MVPs evolve efficiently and meet user needs.
- The transformative potential of Agentic AI in SaaS development signifies a shift towards intelligent, data-driven MVPs that cater to evolving user demands and market trends.
Hackernoon | 13 Mar, 2025
The Psychology of Entrepreneurship: How Mindset Influences Success
- Success in entrepreneurship is heavily influenced by mindset, with traits like resilience, risk tolerance, and adaptability playing key roles.
- Resilience is crucial for entrepreneurs to navigate setbacks, failures, and unpredictable challenges in the business world.
- Entrepreneurs like Elon Musk and Howard Schultz demonstrate resilience by persisting through adversity and learning from setbacks.
- Risk-taking is essential in entrepreneurship, but it should be informed and calculated to maximize growth opportunities.
- Examples like Jeff Bezos and Sara Blakely showcase strategic risk-taking that led to significant success in business.
- Adaptability is key for long-term success, allowing entrepreneurs to pivot strategies based on market changes and feedback.
- Companies like Netflix and Slack succeeded by embracing adaptability and pivoting towards new business models.
- Strategic thinking is essential for making informed decisions and anticipating obstacles to ensure sustainable business growth.
- Entrepreneurs who develop resilience, risk tolerance, adaptability, and strategic thinking are better equipped to manage challenges and drive growth.
- Mastering the psychological aspects of entrepreneurship is crucial for founders to succeed in dynamic environments and turn obstacles into opportunities.
Entrepreneurshiplife | 12 Mar, 2025
Model Context Protocol (MCP): Revolutionizing AI Integration and Context Management
- The Model Context Protocol (MCP) aims to streamline the integration of AI applications with data systems, replacing the need for custom integrations.
- MCP operates on a client-server model with modular components for versatile deployment and communication consistency.
- The protocol supports transport models like STDIO and SSE, using JSON-RPC 2.0 for message formatting and allowing future transport models.
- MCP's goals include enhancing AI model integration, facilitating seamless data access across systems, and improving AI assistants.
- MCP has gained traction in various industries, enabling AI models to interact with systems like Google Drive and Slack.
- In enterprise environments, MCP empowers data assistants to securely access information from multiple internal systems.
- For software development, MCP enhances AI-powered coding assistants by providing live code access and repository information.
- MCP also supports integration with multi-modal tools, such as analytics platforms, for real-time data analysis.
- The protocol has been praised for simplifying AI integration, enhancing developer experience, and addressing deployment challenges.
- MCP's standardization could lead to a unified ecosystem for AI tools, enabling seamless interactions across organizations.
- As MCP evolves, it has the potential to transform AI application development by enabling more efficient integration and context management.
Medium | 11 Mar, 2025
How we built enterprise search to be secure and private
- Slack AI, built securely and privately, operates on data the user can see and integrates with compliance standards.
- Enterprise search in Slack now extends to data from key apps like Google Drive and GitHub, upholding security standards.
- Features like Retrieval Augmented Generation ensure user data privacy, as Slack AI operates on user-accessible data.
- Enterprise search, adhering to Slack AI principles, utilizes federated, real-time data approach for external sources.
- External data access and permissions are kept up to date without storing data in the database.
- Users must grant explicit access to external sources, with full control to revoke access at any time.
- Following the Principle of Least Privilege, enterprise search requests only necessary OAuth scopes for search queries.
- Salesforce emphasizes trust and privacy, ensuring data security in the enterprise search experience.
- The architecture of enterprise search revolves around upholding privacy and security principles.
- Slack AI ensures data privacy, utilizing closed-source LLMs and user-permissioned data access.
Slack | 7 Mar, 2025
What Is SaaS (Software as a Service) in Cloud Computing? Meaning, Examples, Pros & Cons Explained for 2025
- Software as a Service (SaaS) is a cloud delivery model providing ready-to-use software accessible over the internet, offering predictable pricing and simplified usage.
- The SaaS market is projected to exceed one trillion dollars by 2023, fostering innovation and granting access to new technologies without additional infrastructure investments.
- SaaS subscriptions relinquish control over underlying resources but offer flexibility in app usage and data provision.
- SaaS, a key cloud computing model, includes services like Netflix, Slack, and Microsoft 365, with SaaS being the most popular among the cloud delivery models.
- SaaS supplies fully functional products over a network, with high abstraction and less control, compared to other delivery models like PaaS and IaaS.
- Multi-tenant and single-tenant SaaS architectures provide different benefits such as cost-effectiveness, efficiency, consistency, and privacy levels.
- Advantages of SaaS comprise simplified usage, cost-effectiveness, predictable pricing, accessibility, security, reliability, focus on core operations, and automatic updates.
- SaaS challenges include internet dependence, lack of control, limited customization, data portability issues, and potential long-term costs.
- SaaS security risks involve cyberattacks due to vast data collection, emphasizing the need for robust security measures like multi-factor authentication.
- Various SaaS pricing models exist, including subscription-based, per-user, freemium, flat-rate, usage-based, tiered, and performance-based pricing.
- Future trends for SaaS include personalized products, additional pricing models, interactive interfaces, improved security, and a potential shift towards edge computing for enhanced user experiences.
Cloudwards | 22 Feb, 2025
Top 7 B2B Apps Transforming Industries in 2025
- B2B apps are designed to streamline communication, collaboration, and operations between companies, catering to unique business needs.
- They offer a secure environment, streamlined collaboration tools, contextual communication, integration with existing systems, and accessibility.
- Purchasing and distributing custom B2B apps involves defining goals, evaluating development companies, and considering deployment options.
- Development costs, licensing fees, and ongoing maintenance are crucial factors in B2B app development costs.
- Granting user access in B2B apps involves identifying user roles, defining access levels, implementing access control, providing secure login, and monitoring access.
- Key features in B2B apps include integration capabilities, user management, data security, communication tools, and real-time analytics.
- Trends like AI integration, IoT, AR, Cloud computing, and enterprise mobility are shaping the future of B2B app development.
- Industry-specific successful B2B apps include PayPal, Shopify, Cerner, Workday, Slack, HubSpot, and Trello.
- Each app caters to specific industries and offers features like frictionless payments, scalable e-commerce solutions, healthcare data insights, HR management, communication tools, marketing solutions, and project management abilities.
- These B2B apps revolutionize business operations, enhancing efficiency, collaboration, and decision-making across industries.
Designveloper | 18 Feb, 2025
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Slack FAQs
When was Slack founded?
Slack was founded in 2009. The company has been operating for 16 years primarily in the Internet sector.
Where is the Slack headquarters located?
Slack is headquartered in San Francisco,California.
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