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Jobs
Financials
Overview
Fluency maps how work actually happens across an enterprise by observing the steps people take in their tools. The resulting process map shows where handoffs stall and which tasks are ready to automate. It is sold to operations leaders planning automation programmes.
News
Broad AI Adoption Built Fluency, Agents Demand Focus
Time saved that is never redirected becomes organizational slack, and slack is invisible in financial statements.
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Report
AI Fluency is the Workforce Skill Organizations Can't Afford to Ignore
Organizations are rapidly expanding their use of AI, but access is outpacing workforce capability. Research from Google and Ipsos found that while 40% of employees use AI at work, only 5% are truly AI fluent. Giving empl...
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Report
Anthropic to introduce AI Fluency scorecard in Claude
Anthropic is testing an AI Fluency scorecard in Claude, letting users assess and track their AI skills directly within the app's settings panel.
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Report
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Technologies
Tech DNA
Python
TypeScript
Ray
Dagster
FastAPI
PostgreSQL
Amazon ECS
AWS
AWS Lambda
LLM
AI/ML
Python
Amazon ECS
AWS
AWS Lambda
Anyscale
LLM
Ray
Structured Outputs
pgvector
PostgreSQL
Amazon S3
AWS Step Functions
Datadog
Terraform
Terragrunt
Vector
AWS Fargate
Dagster
dbt
Pandas
Polars
Prefect
Spark
Anthropic
AWS Bedrock
Fine-tuning
Function Calling
NLP
OpenAI
Post-training
Prompt Engineering
Tool Use
Dask
Other
TypeScript
FastAPI
ETL/ELT
Stack modernity
74/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
$250k
+39% vs market
TypeScript
2 jobs
Required
$250k
+39% vs market
PostgreSQL
2 jobs
Required
$250k
+63% vs market
pgvector
2 jobs
Optional
$250k
+39% vs market
AWS
2 jobs
Required
$250k
+37% vs market
LLM
2 jobs
Required
$250k
+24% vs market
Ray
2 jobs
Optional
$250k
+11% vs market
AWS Lambda
2 jobs
Required
$250k
+42% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
21%
LLM
19%
TypeScript
17%
AWS
15%
PostgreSQL
11%
Terraform
9%
Share of companies in the same industry that use each technology.
Stack changes
Tool Use
Sep 2026
Prompt Engineering
Sep 2026
Post-training
Sep 2026
OpenAI
Sep 2026
NLP
Sep 2026
Function Calling
Sep 2026
Fine-tuning
Sep 2026
AWS Fargate
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
38/100
Slowing
Open positions
2
0 opened / 0 closed in 30 days
ATS activity
Every ~1 hours
09/06/2026
Hiring Dynamics
0%
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.
AI/ML
50% ▼
Backend
50% ▼
Activity Timeline
Added Tool Use to stack
Sep 2026
Added Prompt Engineering to stack
Sep 2026
Added Post-training to stack
Sep 2026
Added OpenAI to stack
Sep 2026
Added NLP to stack
Sep 2026
Added Function Calling to stack
Sep 2026
Added Fine-tuning to stack
Sep 2026
Added AWS Fargate to stack
Sep 2026
Added AWS Bedrock to stack
Sep 2026
Added Anthropic to stack
Sep 2026
Added Vector to stack
Sep 2026
Added TypeScript to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
2 open roles 100% engineering 200-500 est. staff $250k Avg Salary
hires for AI/ML, Backend
Folsom
United States
Regional office
1475 Folsom St, 94103
1475 Folsom St, 94103
Jobs
$150k – $250k per year • In office • Full-Time • San Francisco
Python
TypeScript
FastAPI
Dask
Databases
PostgreSQL
pgvector
AI/ML
Polars
Spark
Dagster
dbt
Prefect
Pandas
LLM
Ray
Structured Outputs
Anyscale
DevOps
Terraform
Terragrunt
Datadog
AWS
AWS Lambda
Vector
Amazon S3
Amazon ECS
AWS Step Functions
Analytics
ETL/ELT
Apply
$150k – $250k per year • In office • Full-Time • San Francisco
Python
TypeScript
PostgreSQL
pgvector
AI/ML
Fine-tuning
Prompt Engineering
Function Calling
NLP
AWS Bedrock
LLM
Ray
OpenAI
Anthropic
Post-training
Structured Outputs
Anyscale
Tool Use
DevOps
AWS
AWS Fargate
AWS Lambda
Amazon ECS
Apply

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