Actively hiring
LLM & Generative AI
Artificial Intelligence
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Products
People
Growth
Offices
Jobs
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How Workhelix hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Workhelix scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Workhelix Launches Nucleus, the First Platform to Close the Loop Between AI Opportunity and Outcomes
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Report
Aug 2026 The Man Who Saw AI Coming a Decade Before Everyone Else Erik Brynjolfsson predicted over a decade ago that AI would change everything, a claim the article frames against the long arc of human progress: from ancient tools through the Industrial Revolution's rapid advances to the puzzling slowdown in productivity growth in recent decades.
Erik Brynjolfsson predicted over a decade ago that AI would change everything, a claim the article frames against the long arc of human progress: from ancient tools through the Industrial Revolution's rapid advances to the puzzling slowdown in productivit
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Report
Jun 2026 A.I. Doesn't Have to Mean Layoffs (The New York Times) "A lot of people are under the mistaken idea that the only way that you get productivity from A.I. is by removing labor costs." - Erik Brynjolfsson
"A lot of people are under the mistaken idea that the only way that you get productivity from A.I. is by removing labor costs." - Erik Brynjolfsson
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Feb 2026 A Gap In AI Adoption? Moravec And The AI Productivity Paradox (Forbes) Research by Workhelix co-founders Erik Brynjolfsson and Daniel Rock helps explain why AI productivity gains are landing unevenly across organizations. Executives see immediate returns on abstract tasks like report synthesis, while frontline workers remain stuck correcting AI errors on the contextual, real-world work that AI still struggles with.
Research by Workhelix co-founders Erik Brynjolfsson and Daniel Rock helps explain why AI productivity gains are landing unevenly across organizations. Executives see immediate returns on abstract tasks like report synthesis, while frontline workers remain
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Report
Workhelix: $15 Million (Series A) Raised For Maximizing Value Of AI Investments
Workhelix - a tech-enabled services company that helps organizations quantify and maximize the value of their AI investments - announced $15 million in Series A funding led by AIX Ventures, with participation from Andrew Ng's AI Fund, Accenture Ventures,
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Technologies
Tech DNA
SQL
Python
JavaScript
FastAPI
React.js
PostgreSQL
BigQuery
Google BigQuery
AWS
GCP
AI/ML
SQL
Python
PostgreSQL
AWS
CI/CD
GCP
BigQuery
Google BigQuery
Snowflake
Machine Learning
Other
JavaScript
FastAPI
A/B Testing
React.js
Slack
HubSpot
LinkedIn
Stack modernity
78/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
SQL
5 jobs
Required
$200k
+33% vs market
Python
3 jobs
Required
$200k
+9% vs market
PostgreSQL
3 jobs
Required
$200k
+31% vs market
AWS
2 jobs
Required
$212k
+10% vs market
FastAPI
2 jobs
Required
$187k
+9% vs market
CI/CD
1 job
Optional
$224k
+28% vs market
Machine Learning
1 job
Optional
$224k
+11% vs market
A/B Testing
1 job
Required
$200k
+18% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
19%
JavaScript
16%
SQL
15%
CI/CD
15%
AWS
15%
React.js
12%
Share of companies in the same industry that use each technology.
Stack changes
LinkedIn
Sep 2026
HubSpot
Sep 2026
Machine Learning
Sep 2026
JavaScript
Sep 2026
Slack
Sep 2026
React.js
Sep 2026
Snowflake
Sep 2026
Google BigQuery
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salary insights
Compensation ranges based on this company's open jobs
Median
$200k
Typical range
$150k – $224k
Open positions
5
5
Jobs
Junior
20%
Middle
20%
Senior
60%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $150k | $150k |
| Middle | 1 | $185k | $185k |
| Senior | 3 | $200k | $200k – $224k |
Highest paying role
Senior Product Engineer
$224k
Normalized to USD per year
Growth
Hiring Momentum
65/100
Growing
Open positions
7
1 opened / 0 closed in 30 days
ATS activity
Every ~5 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
50% ▼
Sales
50% ▲
Activity Timeline
Added LinkedIn to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
Sales office
7 open roles 2 posted in 90 days 14% engineering 50-200 est. staff $192k Avg Salary
hires for Product, Sales, Backend
Jobs
$145k – $185k per year • In office • Full-Time • 4+ years exp • San Francisco
SQL
Apply
$115k – $150k per year • In office • 2+ years exp • San Francisco
Python
JavaScript
SQL
FastAPI
Databases
PostgreSQL
Frontend
React.js
Management
Slack
Apply
$145k – $200k per year • In office • 5+ years exp • San Francisco
Python
SQL
PostgreSQL
Snowflake
Google BigQuery
BigQuery
DevOps
GCP
AWS
Apply
$150k – $224k per year • In office • 5+ years exp • San Francisco
Python
SQL
FastAPI
Databases
PostgreSQL
AI/ML
Machine Learning
DevOps
CI/CD
AWS
Apply
$165k – $200k per year • In office • 5+ years exp • San Francisco
SQL
A/B Testing
Apply

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