Headcount
Growth Metrics
24-month headcount trend
91
Employees
-6%
0.9x
Headcount
97 → 91
3.4 yrs
Median Tenure
Growth Trajectory
24-month headcount – 0.9x growth since Feb '24
9795939088
Feb '24Feb '26
91 now
Departments
Team Composition
Department breakdown with growth rates (last 3/6/12 months)
Largest Team
Eng21.1%
19 engineers · +12% YoY
Fastest Growing
Legal+100%
3 mo · 2 employees
| Engineering | 1921.1% | +12% 3 mo | |
| Information Technology | 1617.8% | +7% 3 mo | |
| Sales | 1213.3% | +20% 3 mo | |
| Customer Success and Support | 88.9% | — | |
| Operations | 66.7% | — | |
| Human Resources | 66.7% | — | |
| Business Development | 55.6% | — | |
| Product Management | 55.6% | -17% 3 mo | |
| Marketing | 55.6% | -17% 3 mo | |
| Legal | 22.2% | +100% 3 mo |
Workforce
Workforce DNA
Geography, skills and academic background
Top Locations
- United States87
- California, United States29
- San Francisco Bay Area16
- San Francisco, CA10
- New York, United States9
Top Skills
- Leadership36
- Microsoft Office33
- Public Speaking31
- Customer Service31
- Python (Programming Language)29
Top Schools
- University of Washington4
- Dartmouth College3
- Stanford University3
- University of California, Berkeley3
- San Diego State University3
Fields of Study
- Computer Science9
- Computational Science8
- Political Science and Government7
- Economics5
- Mathematics4
Hiring
Open Positions
5 active roles on LinkedIn
- Senior Software Engineer, Full StackUnited States·Nov 22, 2025100+ applicants
- Senior Data EngineerUnited States·Nov 22, 2025100+ applicants
- Customer Support SpecialistUnited States·Feb 6, 2026100+ applicants
- Solutions Engineer - [Pre and/or Post Sales Exp Required]United States·Jan 16, 202646 applicants
- Senior Software Engineer, Data AcquisitionUnited States·Nov 22, 202538 applicants
4Engineering
0GTM
0Design
0Remote
Content
Brand Presence
Recent posts and external mentions (last 30 days). Click to open on LinkedIn.
9.3+
Mentions / Wk
Notable External Mentions
DateMentionReactions
- Feb 19Mike W. – I’m prototyping something I wish I had as an HRBP: a way to catch employment law changes early and turn them into a clean, human-reviewed handbook update queue. I built a compliance prototype on OpenClaw that: 🔎 monitors employment law updates across 50 states plus select major cities 🧩 maps likely impacts to handbook sections (synthetic handbook for now) 📝 drafts suggestions with citations for human review This is a personal lab build on my own infrastructure, and no real employee or candidate data. Also: human-in-the-loop only. Question: Is there an OpenClaw community focused on HR or People Ops use cases (Slack / Discord / anything)? If not, I’m happy to start a small working group to swap patterns and guardrails. I’ll drop the OpenClaw setup video I used in the comments. #HRTech #OpenClaw #OpenClawHR #AIinHR #HRInnovation #PeopleOps #HROps #HRBP #Compliance #EmploymentLaw #HRTechCommunity18
- Feb 17The Data Inspiration Group – It's week 2 of #DataTalks, our weekly interview series sharing real stories from people working in data — and challenging the stereotypes along the way! This week’s edition tackles one of the biggest misconceptions about data careers: that they’re all maths-heavy, code-only, and reserved for a certain “type” of person... Featuring Susan Walsh and Peter Laflin, this issue is all about curiosity, communication, and the very human side of working with data. Read it now 👇 #Digdata #MyDataStory18
- Feb 18Tu Nguyen – The days of just "pulling the data" are officially over. 👋 Looking ahead to 2026, the role of the Data Analyst has undergone a massive glow-up. We are no longer just technical operators; we are Strategic Orchestrators. With AI now capable of writing basic SQL and cleaning messy spreadsheets in seconds, the bar for us humans has moved higher. To stay competitive, it’s not enough to just know the tools—we have to master the bridge between raw data and strategic execution. In my latest post, I break down the 3 critical skills you need to thrive in this new era. Check out the full breakdown and see how the priorities have shifted from 2021 to 2026 👇 I’d love to hear your thoughts! Which of these three skills are you focusing on developing right now? #DataAnalytics #ArtificialIntelligence #CareerGrowth #DataScience #WomenInTech #FutureOfWork #PromptEngineering4
- Feb 12Aadi Manchanda – New edition of Fastlane: Data & AI Chronicles is live exploring why AI strategies demand more than just a lakehouse and how integrated databases are reshaping the stack. Dive in to see what an all-in-one data platform could mean for your AI roadmap. #ModernDataPlatform #IntegratedDB #AI #DataArchitecture #Lakehouse16
- Feb 16Bhavika Siripurapu – The best data professionals don’t just analyze numbers — they connect insights to impact. In today’s tech-driven world, organizations are generating more data than ever. The real advantage comes from transforming that raw data into meaningful insights through strong SQL foundations, Python-driven analysis, and intuitive dashboards in Power BI or Tableau. I’ve been focusing on strengthening the full analytics lifecycle — from data extraction and cleaning, to ETL processes, to building KPI scorecards and executive-ready visualizations. Working across cloud platforms and large datasets has reinforced one key lesson: clarity, data quality, and storytelling matter just as much as technical skill. Excited to continue growing in analytics, cloud, and data engineering while contributing to teams that value data-driven decision-making 🚀 #DataAnalytics #SQL #Python #PowerBI #Tableau #CloudComputing #DataEngineering #WomenInTech #ContinuousLearning3
- Feb 12Zeynep Serra Avan – EXCITING NEWS 🥳 CompanyEnrich could already find and enrich companies. Now it’s evolved into a full company + contact data layer. CompanyEnrich People Search API is out! Built to plug directly into internal tools, AI agents, automations and outbound workflows. And if you’re not super technical, the dashboard lets you build searches very quickly too. → ~900M raw profiles cleaned down to 170M high-quality contacts → Low-signal and fake profiles removed → Database re-released every 3 months → AI standardizes job titles, seniority and departments If you want to test it and need credits to play around, let me know. p.s. Credit to Louise for the video idea (this is a very amateur version I created, she’s incredibly good at this)66
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