Zeer MAQ Software / intent / maq-software

MAQ Software

1001-5000 employees·Redmond, Washington, United States·maqsoftware.com

Observed, not inferred · updated weekly

Buying intent

108 tracked signals | Top 15 topics are below | Engineering is carrying most of it.

73signals · 30 days
50topics tracked
100%attributed to a team

Attention by team

LinkedIn activity, by team

Where MAQ Software's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Data Engineering
Career Development
Hiring
Software Development
Data Analytics
Professional Development
Engineering
High27% of team Engineering to Data Engineering: High, 27% of this team's signals
High25% of team Engineering to Career Development: High, 25% of this team's signals
Medium15% of team Engineering to Hiring: Medium, 15% of this team's signals
Medium13% of team Engineering to Software Development: Medium, 13% of this team's signals
Medium10% of team Engineering to Data Analytics: Medium, 10% of this team's signals
Medium10% of team Engineering to Professional Development: Medium, 10% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Data Engineering
LinkedIn
High volume
97%
last
2d ago
Career Development
LinkedIn
High volume
97%
last
3d ago
Hiring
LinkedIn
Medium volume
93%
last
2d ago
Software Development
LinkedIn
Medium volume
96%
last
3d ago
Data Analytics
LinkedIn
Medium volume
94%
last
2d ago
Professional Development
LinkedIn
Medium volume
98%
last
5d ago
Azure Databricks
LinkedIn
Low volume
92%
last
19d ago
Software Developers
LinkedIn
Low volume
94%
last
3d ago
Artificial Intelligence
LinkedIn
Low volume
96%
last
5d ago
Computer Science
LinkedIn
Low volume
98%
last
5d ago
Power BI
LinkedIn
Low volume
92%
last
13d ago
Cloud Computing
LinkedIn
Low volume
96%
last
20d ago
Process Improvement
LinkedIn
Low volume
98%
last
5d ago
Marketing Management
LinkedIn
Low volume
96%
last
15d ago
Emerging Technologies
LinkedIn
Low volume
98%
last
5d ago

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Who's active at MAQ Software

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Engineering23 active
researching Data Engineering
in
researching Data Engineering
in
researching Power BI
in
researching Azure Databricks
in
researching Software Development
in
researching Talent Management
in
researching Cloud Computing
in
researching Digital Twin
in
researching Apache Spark
in
researching AI Servers
in
Software Engineer 1
researching SAP ERP
in
Software Engineer 1
researching Data Engineering
in
Associate Software Engineer
researching Software Development
in
Software Engineer 1
researching Career Development
in
Senior Software Engineer 2
researching Professional Development
in
Software Engineer
researching Career Development
in
Software Engineer 1
researching Software Development
in
Software Engineer
researching Career Development
in
Software engineer 1
researching Agentic AI System
in
Software Engineer
researching Career Development
in
Associate Software Engineer
researching Computer Science
in
Associate Software Engineer
researching Marketing Management
in
Associate Software Engineer
researching Renewable Energy
in
+ 13 more in Engineering

See everyone, not just the first 10

23 people across every department at MAQ Software, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

MAQ Software enables leading companies to accelerate AI and data initiatives. Our solutions enable clients to build autonomous systems using Agentic Engineering to improve productivity, reduce costs, and build stronger customer relationships in the new autonomous paradigm. As a Featured Partner for Microsoft Fabric, we enable clients to build advanced data platforms and analytics solutions that in

New capability sought

Employee posts (LinkedIn)

Azure Databricks; Data Analytics; Hiring; Software Developers; Cloud Computing; Computer Science; Power BI; Process Improvement

Top accounts researching MAQ Software

names withheld on the public page

These are companies whose own people brought up MAQ Software unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

8,055 companies · 34,411 people are researching Data Engineering

MAQ Software's own team shows 14 signals on this topic. No one outside MAQ Software has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Career Development57,400 cos · 377,367 people
  • Hiring66,174 cos · 318,882 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching MAQ Software.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 7 people

What's been said

public posts by MAQ Software's team

No public post naming MAQ Software has surfaced in the past year, so this is what MAQ Software's own team is posting about publicly — their topics, in their words.

LinkedIn

Had an incredible opportunity to participate as a panelist on “Bridging Generations” at the Canadian Credit Union Association National Conference alongside Glenn Bolger , Sunaina Sharma , and moderated by my friend and National Young Leaders Committee colleague Theresa Smith . What made this conversation so impactful was the openness, collaboration, and yes… the occasional “spicy” banter. We explored how different generations approach leadership, risk, growth, communication, and decision-making across the credit union system — and how those differing perspectives actually strengthen our organizations when we lean into them. One consistent theme emerged throughout the discussion: there is immense value in creating space for both emerging and seasoned leaders to challenge and learn from one another’s thinking. Different career stages bring unique experiences, perspectives, ideologies, and thought processes — and when those voices come together, the depth of conversation, quality of decision-making, and strength of leadership grows exponentially. A huge thank you to Canadian Credit Union Association and Meridian Credit Union for the opportunity to be part of this discussion and for continuing to create meaningful dialogue across the system. Also incredibly proud of the work being done by the National Young Leaders Committee to advocate for emerging leaders to not only have a seat in the room, but to have the stage and the microphone to share our perspectives and have our voices heard. The future of the credit union system will be built through collaboration across generations — not in silos. #CCUA #CreditUnions #Leadership #BridgingGenerations #EmergingLeaders #NEXTGEN #Collaboration #NationalConference

May 2026
LinkedInData Engineering

Hi Everyone, During my journey as a Data Engineer & Analyst, I’ve realized that many people write SQL queries but don’t actually know the order in which SQL executes them. So, let’s understand SQL Query Execution in a simple way 😎 Suppose We have this Query: SELECT department, AVG(salary) AS avg_salary FROM Employees WHERE salary > 50000 GROUP BY department HAVING AVG(salary) > 60000 ORDER BY avg_salary DESC; Many assume SQL executes queries from top to bottom in the same order they are written: ❌ SELECT → FROM → WHERE → GROUP BY → HAVING → ORDER BY However, the actual execution order is: ✅ FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY This understanding also explains why aliases created in the SELECT clause cannot be used inside the WHERE clause. In general, the logical execution order in SQL is: ✅ FROM → JOIN → WHERE → GROUP BY → HAVING → SELECT → DISTINCT → ORDER BY → LIMIT Understanding query execution order is extremely important for: • Writing optimized queries • Debugging SQL errors • Improving database performance • Building strong SQL fundamentals #SQL #DataEngineering #DataAnalytics #Database #Learning #Tech

May 2026
LinkedIn

I'm happy to share that I'm starting a new position as Software Engineer at Google !

Apr 2026
LinkedInArtificial Intelligence

Hot take: AI isn’t getting “smarter” as fast as it’s getting better at sounding smart. This example nails it. Clean reasoning, confident tone—and still wrong in a very obvious way. The risk isn’t bad answers. It’s believable ones. If you’re using AI in real workflows, the skill isn’t just prompting anymore—it’s knowing when NOT to trust the output.

Apr 2026
LinkedIn

Velocity is the only sustainable competitive advantage for a company in the age of AI.

Apr 2026
LinkedIn

I Quit My First Job in Just 365 Days - And Everyone Thought I Was Making a Mistake. Most people think quitting a good job in just one year is a mistake. Back in 2009, I landed a role as a Java Web Developer at Zoho . At that time, getting into Zoho was a dream for many fresh graduates. It meant stability. Respect. A secure future. My family felt proud. My friends believed I was settled. But within a year, I made a decision that shocked almost everyone around me. I quit. Not because the company was bad. Not because the work was hard. But because deep down, I knew I was living a safe life — not a meaningful one. Walking away from that job was not exciting. It was frightening. There were sleepless nights. Moments of self-doubt. Days when I questioned whether I had made the biggest mistake of my life. But those difficult years forced me to grow. I kept learning. I kept adapting. And I kept moving forward - even when the path was unclear. Slowly, my interest shifted toward understanding money, risk, and how financial decisions shape people’s futures. I studied. I trained. I stayed consistent when quitting would have been easier. Years later, that persistence led me to a milestone I once thought was impossible. I became a SEBI Registered Research Analyst, recognized under the regulations of the Securities and Exchange Board of India. Looking back, quitting my job at Zoho after just one year was not the end of stability. It was the beginning of responsibility. Sometimes, the hardest decision you make early in life becomes the reason you succeed later. Thank you for taking the time to read my journey. Follow RAJESHWARA PANDIAN for more insights and real life lessons from my professional path. #CareerJourney #UnderdogStory #FinancialGrowth #KeepLearning

Apr 2026
LinkedInArtificial Intelligence

I haven't had a full night's sleep in 4 days. And I've never been more productive in my life. Here's my weird late-night coding ritual: → At 11 PM, I open my laptop. Write a detailed prompt for Claude / Copilot. Hit enter. Set a 30-minute alarm. Sleep. Wake up. Review the output. Fix. Refine. Next prompt. Sleep again. I repeat this 7–8 times a night. 4 hours of "work." Zero burnout. Right now I'm running 4 client contracts simultaneously at Booomit Tech All moving. All shipping. The old me thought productivity = more hours awake. The new me lets AI code while I recover. Then I show up sharp for every review. --- Here's the secret nobody tells you: A 30-min nap resets your brain better than 2 cups of coffee. I also take a 1-hour nap every afternoon. I used to think naps were lazy. Now I think sleep is the unfair advantage most founders ignore. --- I'm not working harder. I'm recovering faster and letting AI carry the load. → Prompt → Nap → Review → Repeat That's it. That's the whole system. 4 hours of night cycles. 1 hour afternoon nap. 4 contracts shipping. Sleep is the cheat code most founders delete first. Don't be that founder. Who else has a weird productivity ritual? Drop it below 👇 PS: Don't try this at home 😅 Only if you can handle a truly weird sleep schedule.

Apr 2026

About this data. MAQ Software (maqsoftware.com). Department attribution is 100%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries