LinkedIn Top Startups 2024: The 10 companies on the rise in San Francisco
Today, we’re introducing the inaugural list of Top Startups in San Francisco, a look at the 10 emerging companies you should know now in the San Francisco Bay Area.
These companies aren't just growing fast locally and garnering attention from investors and jobseekers —?they’re also building innovative solutions that are shaping the future of their industries. AI-powered search engine Perplexity tops the list, which also nabbed the No. 1 spot on the overall U.S. ranking . The Bay Area's influence as a tech innovation hub is clear in AI's dominance throughout the list, whether it’s Inworld AI 's video game engine, Cresta 's AI solutions for sales agents or Harvey 's platform automating legal tasks.?
The list is built on exclusive LinkedIn data across four key pillars: employee growth; jobseeker interest; member engagement within the company and its employees; and how well these startups have pulled talent from LinkedIn Top Companies . While these are the same pillars used for our U.S. Top Startups list , the methodology slightly differs, reflecting activity at the local city level vs. the country (you can read more at the bottom of this article). To be eligible, companies must be headquartered in the U.S., fully independent, privately held, have 30 or more full-time employees in the city and be 7 years old or younger.?
Here are this year’s 10 Top Startups in San Francisco — and join the conversation using #LinkedInTopStartups .
All headcounts are provided by the companies, unless marked with an asterisk. Those headcounts are from LinkedIn data. All are rounded to the nearest five.
1. Perplexity
Full-time headcount in San Francisco: 40 | Headquarters: San Francisco | Year founded: 2022 | Founders: Aravind Srinivas , Denis Yarats , Johnny Ho , Andy Konwinski | Most common skills: Machine Learning, JavaScript, Python | Most common job titles: Technical Staff Member, Software Engineer, Talent Acquisition Specialist | Largest job functions: Engineering, Business Development, Marketing?
2. Ramp
Full-time headcount in San Francisco: 75 | Headquarters: New York City | Year founded: 2019 | Founders: Eric Glyman , Karim Atiyeh , Gene Lee | Most common skills: User Experience (UX), Lead Generation, Machine Learning | Most common job titles: Software Engineer, Business Development Manager, Account Manager | Largest job functions: Engineering, Sales, Marketing?
3. Glean
Full-time headcount in San Francisco: 215 | Headquarters: Palo Alto, Calif. | Year founded: 2019 | Founders: Arvind Jain , Vishwanath TR , Piyush Prahladka , Tony Gentilcore | Most common skills: Machine Learning, MATLAB, Artificial Intelligence | Most common job titles: Software Engineer, Business Development Representative, Strategic Sales Specialist | Largest job functions: Engineering, Sales, Business Development
4. Inworld AI
Full-time headcount in San Francisco: 40 | Headquarters: Mountain View, Calif. | Year founded: 2021 | Founders: Ilya Gelfenbeyn , Michael Ermolenko , Kylan Gibbs | Most common skills: Natural Language Processing (NLP), Machine Learning, Deep Learning | Most common job titles: Software Engineer, Machine Learning Engineer | Largest job functions: Engineering, Operations, Business Development??
5. Vanta
Full-time headcount in San Francisco: 100 | Headquarters: San Francisco | Year founded: 2018 | Founder: Christina Cacioppo | Most common skills: MATLAB, Lead Generation, User Interface Design | Most common job titles: Software Engineer, Account Executive, Product Manager | Largest job functions: Engineering, Sales, Human Resources?
6. Wiz
领英推荐
Full-time headcount in San Francisco: 30+ | Headquarters: New York City | Year founded: 2021 | Founders: Assaf Rappaport , Ami Luttwak , Yinon Costica , Roy Reznik | Most common skills: Software as a Service (SaaS), Enterprise Software, Lead Generation | Most common job titles: Strategic Sales Specialist, Software Engineer, Account Executive | Largest job functions: Sales, Marketing, Engineering?
7. Carbon Direct
Full-time headcount in San Francisco: 30 | Headquarters: New York City | Year founded: 2021 | Founder: Jonathan Goldberg | Most common skills: Sustainability, Policy Analysis, Data Analysis | Most common job titles: Biology Director, Scientist, Researcher | Largest job functions: Research, Operations, Business Development
8. Harvey
Full-time headcount in San Francisco: 90 | Headquarters: San Francisco | Year founded: 2022 | Founders: Gabriel Pereyra , Winston Weinberg | Most common skills: Python, Linux, SQL | Most common job titles: Software Engineer, Technical Staff Member, Legal Researcher | Largest job functions: Engineering, Legal, Business Development?
9. Watershed
Full-time headcount in San Francisco: 160 | Headquarters: San Francisco | Year founded: 2019 | Founders: Christian Anderson , Taylor Francis , Avi Itskovich | Most common skills: MATLAB, Sustainability, Machine Learning | Most common job titles: Software Engineer, Marketing Director, Data Analyst | Largest job functions: Engineering, Marketing, Information Technology??
10. Cresta
Full-time headcount in San Francisco: 80 | Headquarters: Palo Alto, Calif. | Year founded: 2017 | Founders: Zayd Enam , Tim Shi | Most common skills: Machine Learning, Artificial Intelligence, MATLAB | Most common job titles: Software Engineer, Business Development Representative, Sales Director | Largest job functions: Engineering, Sales, Business Development??
You can check out the Top Startups in the U.S. here , as well as the Top Startups in Austin , Boston , Chicago , Dallas , Denver , Los Angeles , New York City , Seattle and Washington, D.C .
Methodology
LinkedIn measures startups based on four pillars: employment growth, engagement, job interest and attraction of top talent. Employment growth is measured as percentage headcount increase in the city over methodology time frame, which must be a minimum of 5%. Engagement looks at non-employee views and follows of the company’s LinkedIn page among members in the city, as well as how many non-employees are viewing employees at that startup. Job interest counts the rate at which people are viewing and applying to jobs at the company in the city, including both paid and unpaid postings. Attraction of top talent measures how many employees in the city the startup has recruited away from any global LinkedIn Top Company, as a percentage of the startup’s total workforce. Data is normalized across all eligible startups. The methodology time frame is July 1, 2023 through June 30, 2024.
To be eligible, companies must be fully independent, privately held, have 30 or more full-time employees in the city, be 7 years old or younger and be headquartered in the country on whose list they appear. We exclude all staffing firms, think tanks, venture capital firms, law firms, management and IT consulting firms, nonprofits and philanthropy, accelerators and government-owned entities. Startups who have laid off 10% or more of their workforce based on corporate announcements or public, reliable sources between July 1, 2023 and the list launch, are not eligible. These decisions are made by the LinkedIn News team based on company statements and/or reputable news outlets.
About company insights
*Company insights were sourced from LinkedIn Talent Insights . Data reflects aggregated public member data from active LinkedIn profiles in the relevant metropolitan area and includes full-time employee profiles associated with the company on LinkedIn. We exclude members who identify as part-time or contractors. Headcounts are provided by the companies directly, unless otherwise noted with an asterisk. Those headcounts are based on LinkedIn data. All insights reflect a 12-month time period looking back from July 2024. Skills data was derived from measuring the most frequent skills among a company’s employees. Most common job titles represent the occupations that are most common within each company. Largest job function measures the function area most prevalent within each company.
Methodology and insights by: LinkedIn's Economic Graph team
Craft your ideal life with clarity ? Here to write daily insights on building a career, your finances, and successful living
3 周Exciting to see emerging companies recognized for their growth and innovation. The startup scene is thriving, driven by technological advancements and a talent-rich environment.
Strategic Leader & Commercial Executive: Driving rare disease launches | Expert in AI/ML, Analytical Insights, Building high-functioning teams | Transforming customer experience through innovative technology solutions
3 周Interesting list and I am not surprised to see Perplexity at the top with their recent partnerships. There has been a lot of effort to make Pre-IPO and Fund investments investments accessible for retail investors as well. Accelerators and Mentorship networks are helping early stage startups find product market fit. Investments in AI and DeepTech continue to be attractive for investors with growing valuations and returns potential.
I was replaced when my contract ended by a kid out of high school that had only taken his A+ exam. Had no clue about fire walls, beating a malware prior to the computer booting, backups, server alignment or people skills. All because I wouldn't break company rules to accommodate her desires. Same problem that infected the servers and every computer within the inside company's computers. We really need to Unionize all computer geeks so we can be on the same page and have all the qualifications equal with one another across the board.
Staff Technical Program Manager | Driving Scalable Solutions, Cross-Functional Alignment, and Innovation | Expert in Agile Transformations, Playbooks, and Strategic Roadmaps
1 个月If I were betting on horses, I'd bet on Wiz (build, run, deploy), Perplexity (Market & UX Research on steroids), InWorld AI (LLM's in Ludicrous Speed), Vanta (democratizing Security in various sectors), Harvey (is a very powerful Legal Alexa at your disposal) and Cresta (iRobot call center respond robot).
Expectedly AI-heavy, appropriately so. Don't forget about the less risky plays.