Member of Technical Staff -- Founding Engineer (Data)
Compound AI
•
San Francisco Bay Area
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0
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Not Applicable
Posted March 14, 2026
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Responsibilities
Commitments
Responsibilities
- We're seeking exceptional backend engineers who excel at going deep on data.
- You'll build the data pipelines and database systems that power Compound's AI agents, ingesting diverse financial data sources and ensuring our systems can query them with speed and precision.
- You'll work closely with the founders to rapidly integrate new data sources that give our AI agents the context they need to deliver real value.
- Have deep expertise building and optimizing data pipelines that ingest, transform, and serve data at scale, e.g.
- Beam, Spark, Flink, etc.
- Are obsessive about schema correctness and query performance for latency-sensitive applications
Commitments
Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking
Time off as you need it
We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together.
Not Met Priorities
What still needs stronger evidence
Requirements
- Have deep expertise building and optimizing data pipelines that ingest, transform, and serve data at scale, e.g.
- Beam, Spark, Flink, etc.
- Love going deep on details to understand data thoroughly
- Are obsessive about schema correctness and query performance for latency-sensitive applications
- Are an expert in database technologies: PostgreSQL, SQL/NoSQL, MongoDB, BigQuery and/or alternatives
- Have experience with large datasets at hedge funds, trading firms, or top-tier tech companies
- Have a strong understanding of computer science fundamentals, distributed systems
- Are experienced in deploying services (docker, kubernetes) to at least one of GCP, AWS, Azure
- Strong programmer with expertise in at least one statically-typed language
- Use AI to augment yourself and accelerate your work, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design)
- Are invigorated by high-performing peers and doing high-quality work
Preferred Skills
- Love going deep on details to understand data thoroughly
- Are experienced in deploying services (docker, kubernetes) to at least one of GCP, AWS, Azure
- Use AI to augment yourself and accelerate your work, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design)
About Twenty Labs / Compound
Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai). Some product videos can be found on YouTube.
You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator).
Benefits
Comprehensive Medical/Dental/Vision insurance for you and dependents, including $0 premium plan with company HSA contribution
401(k) plan with 4% match
Catered daily team lunch
Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking
Time off as you need it
Top-quality computers and ergonomic workspace
Corporate AI subscriptions as much as you need for work
Our culture and how we operate
We seek out the 10% of people who account for 90% of productivity and strive to be a small and talent-dense team.
No formal performance reviews. If you're here, you're a high-performer.
Our organization is flat with no middle managers and you will work directly with the founders who all code.
No empire building – we operate as one team.
If you see something you can fix efficiently end-to-end, just do it.
We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together.
We write blameless post-mortems (incident reports) for any service outages to document and constantly improve reliability.
We “Feel the AGI” and want to bring it to others to massively improve productivity.
Your role
We're seeking exceptional backend engineers who excel at going deep on data. You'll build the data pipelines and database systems that power Compound's AI agents, ingesting diverse financial data sources and ensuring our systems can query them with speed and precision. You'll work closely with the founders to rapidly integrate new data sources that give our AI agents the context they need to deliver real value.
You, the ideal candidate
Have deep expertise building and optimizing data pipelines that ingest, transform, and serve data at scale, e.g. Beam, Spark, Flink, etc.
Love going deep on details to understand data thoroughly
Are obsessive about schema correctness and query performance for latency-sensitive applications
Are an expert in database technologies: PostgreSQL, SQL/NoSQL, MongoDB, BigQuery and/or alternatives
Have experience with large datasets at hedge funds, trading firms, or top-tier tech companies
Have a strong understanding of computer science fundamentals, distributed systems
Are experienced in deploying services (docker, kubernetes) to at least one of GCP, AWS, Azure
Strong programmer with expertise in at least one statically-typed language
Use AI to augment yourself and accelerate your work, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design)
Are invigorated by high-performing peers and doing high-quality work
Compensation Range: $150K - $300K
Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai). Some product videos can be found on YouTube.
You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator).
Benefits
Comprehensive Medical/Dental/Vision insurance for you and dependents, including $0 premium plan with company HSA contribution
401(k) plan with 4% match
Catered daily team lunch
Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking
Time off as you need it
Top-quality computers and ergonomic workspace
Corporate AI subscriptions as much as you need for work
Our culture and how we operate
We seek out the 10% of people who account for 90% of productivity and strive to be a small and talent-dense team.
No formal performance reviews. If you're here, you're a high-performer.
Our organization is flat with no middle managers and you will work directly with the founders who all code.
No empire building – we operate as one team.
If you see something you can fix efficiently end-to-end, just do it.
We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together.
We write blameless post-mortems (incident reports) for any service outages to document and constantly improve reliability.
We “Feel the AGI” and want to bring it to others to massively improve productivity.
Your role
We're seeking exceptional backend engineers who excel at going deep on data. You'll build the data pipelines and database systems that power Compound's AI agents, ingesting diverse financial data sources and ensuring our systems can query them with speed and precision. You'll work closely with the founders to rapidly integrate new data sources that give our AI agents the context they need to deliver real value.
You, the ideal candidate
Have deep expertise building and optimizing data pipelines that ingest, transform, and serve data at scale, e.g. Beam, Spark, Flink, etc.
Love going deep on details to understand data thoroughly
Are obsessive about schema correctness and query performance for latency-sensitive applications
Are an expert in database technologies: PostgreSQL, SQL/NoSQL, MongoDB, BigQuery and/or alternatives
Have experience with large datasets at hedge funds, trading firms, or top-tier tech companies
Have a strong understanding of computer science fundamentals, distributed systems
Are experienced in deploying services (docker, kubernetes) to at least one of GCP, AWS, Azure
Strong programmer with expertise in at least one statically-typed language
Use AI to augment yourself and accelerate your work, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design)
Are invigorated by high-performing peers and doing high-quality work
Compensation Range: $150K - $300K