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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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Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | - based on 0 reviews | 4.1/5 based on 25.3k reviews | 5.0/5 based on 3 reviews | 5.0/5 based on 1 reviews |
Highly Rated for | - | Company culture Salary Work-life balance | Skill development Work-life balance Job security | Skill development Work-life balance Salary |
Critically Rated for | - | No critically rated category | No critically rated category | No critically rated category |
Primary Work Policy | - | Permanent work from home 46% employees reported | - | - |
Rating by Women Employees | - no rating available | 4.1 Good rated by 8k women | - no rating available | - no rating available |
Rating by Men Employees | - no rating available | 4.0 Good rated by 15k men | - no rating available | - no rating available |
Job security | - Data not available | 3.7 Good | 5.0 Excellent | 5.0 Excellent |
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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
(2 salaries)
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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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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
How Agile Development Can Transform Your B2B Brand Strategy
- Agile development, originally for software, can revolutionize B2B branding by enabling quick pivots, consistent value delivery, and enhanced customer relationships.
- Agile's focus on iterative progress, collaboration, flexibility suits the dynamic B2B landscape demanding personalized experiences and rapid adaptations.
- Key Agile principles for B2B branding include iterative progress, customer collaboration, adaptability, and cross-functional teamwork.
- Implementing Agile in B2B branding involves starting with a clear vision, breaking down strategies into sprints, gathering feedback, iterating, and fostering collaboration.
- Real-world Agile B2B branding examples include HubSpot, IBM, and Slack, demonstrating successful strategy transformations through Agile principles.
- Adopting Agile in B2B brand strategy offers benefits like faster time-to-market, better customer alignment, increased flexibility, improved collaboration, and higher ROI.
- Agile development, though potent, requires a mindset shift, collaboration, and adaptability for B2B brands seeking to enhance their strategies and audience connections.
- If willing to embrace change and collaboration, Agile can be the key to strengthening your B2B brand strategy and achieving surprising results.
- Begin by experimenting with Agile in small steps to unlock its potential in transforming your B2B brand strategy.
Entrepreneurshiplife | 13 Feb, 2025
Dear SaaStr: How Do You Price a SaaS Product in a New B2B Market?
- The simplest answer is usually to copy the pricing from the closest public company or other break-out leader you can find that is vaguely similar.
- Find a comparable company that provides similar value at scale and copying their pricing can serve as a good starting point for a new SaaS product.
- Avoid reinventing the wheel on pricing, even if you are introducing a new or unique product.
- Look to successful companies like Salesforce, Hubspot, Box, Notion, Twilio, Slack, Atlassian for effective pricing models.
Saastr | 13 Feb, 2025
Will you build AI that people love — or AI they tolerate?
- AI that doesn't 'feel' is AI that won't scale.
- Understanding user intent and emotion is crucial for disruptive AI.
- Companies like Slack, Spotify, and TikTok have succeeded by creating a personal and fun AI experience.
- Building AI as an emotional companion enhances trust and loyalty.
Medium | 13 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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