Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Investors:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
Role Overview:
As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.
Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
Responsibilities:
Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
Design and deliver tailored demos and time-boxed POVs with clear success criteria
Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
Guide customers from closed-won to first production workloads
Provide architectural guidance and support customers through early adoption
Monitor usage patterns and surface expansion opportunities in partnership with Sales
Participate in status reviews and QBRs for assigned accounts
Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
Document best practices and contribute to internal enablement
What We’re Looking For :
4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
Proficiency with SQL and the ability to reason about query behavior and performance
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
Strong communication skills and comfort presenting to both technical and non-technical audiences
A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
Background in data infrastructure, developer tools, or technical consulting is a plus
Scripting experience in Python, Go, or similar languages is a plus
Location: NYC (hybrid, minimum 3 days/week in HQ) Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Qualifications and relevant work experience
Educational background and credentials
Relevant skills and certifications
Geographic location
Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
WHO WE ARE:
Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
INVESTORS:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
ROLE OVERVIEW:
As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.
Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
RESPONSIBILITIES:
- Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
- Design and deliver tailored demos and time-boxed POVs with clear success criteria
- Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
- Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
- Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
- Guide customers from closed-won to first production workloads
- Provide architectural guidance and support customers through early adoption
- Monitor usage patterns and surface expansion opportunities in partnership with Sales
- Participate in status reviews and QBRs for assigned accounts
- Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
- Document best practices and contribute to internal enablement
WHAT WE’RE LOOKING FOR :
- 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
- Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
- Proficiency with SQL and the ability to reason about query behavior and performance
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
- Strong communication skills and comfort presenting to both technical and non-technical audiences
- A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
- Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
- Background in data infrastructure, developer tools, or technical consulting is a plus
- Scripting experience in Python, Go, or similar languages is a plus
Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
- Qualifications and relevant work experience
- Educational background and credentials
- Relevant skills and certifications
- Geographic location
- Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior / Staff Software Engineer (Database)
Location
New York
Employment Type
Full time
Department
Engineering
Overview
Application
Who We Are:
Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Investors:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
About the Role
Our database technology sits at the heart of the Materialize product—a product that transforms years of cutting-edge academic research into the missing element of today’s data architecture. As a member of our Database team, you will join a team of ~10 incredible engineers focused on solving ambitious systems problems in service of delivering this remarkable product to our users.
Recent examples of the work the Database team focuses on include: evergreen efforts to drive down freshness & responsiveness while continuing to deliver correct, consistent results; making each layer of the system more easily scalable; building the right primitives to integrate with the varied software development lifecycles of our users; unifying memory and disk through transparent use of swap; making our release process more predictable and reliable; writing clear documentation both internally and externally; improving observability and debugging tooling; and deleting lots of no-longer-needed code.
This role is based in our NYC office (by Astor Place), with an expectation of ≥3 days per week in person.
Responsibilities
Design and deliver improvements to the Database, with an eye on correctness, reliability, and performance.
Own projects end-to-end, from early stage design to holding the pager.
Debug and resolve complex distributed systems issues, sometimes directly with customers.
Continually improve system reliability, observability, and automation.
Collaborate across your team, with Product, with Field Eng, and all other stakeholders to align on direction, carefully prioritize, and build the best product for our users.
Share your work through mentorship, demos, blog posts, and any other relevant channels.
About You
You have several years of experience developing software, and are passionate about distributed systems and/or databases. If you don’t use it already, you’re excited to learn Rust.
You take pride in owning your work all the way through. Whether it’s early design work, close code review, holding the pager, writing the docs, or teaching the system to your newest team member, you take responsibility for your work at every step.
You strive to make your work easy for others to understand. You write clear design docs and write clear, well-documented code. You love to take hard problems and make them simpler. And still simpler—until all of the complexity is boiled away.
You love to solve hard problems in service of the customer and you approach those hard problems from all perspectives. Some of your greatest engineering moments come from the times you solved problems by not writing any code.
You’re excited about working at the intersection of frontier academic research and the fast-paced realities of a venture-backed startup. You love the multidimensional problem of balancing engineering resilience, delivery speed, and product value.
You want to build something great.
STAFF SALARY RANGE: $200,000 - $230,000 + Equity
SENIOR SALARY RANGE: $170,000 - $205,000 + Equity
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Qualifications and relevant work experience
Educational background and credentials
Relevant skills and certifications
Geographic location
Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Apply for this Job
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Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
WHO WE ARE:
Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
INVESTORS:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
ABOUT THE ROLE
Our database technology sits at the heart of the Materialize product—a product that transforms years of cutting-edge academic research into the missing element of today’s data architecture https://materialize.com/blog/missing-element-data-architecture/. As a member of our Database team, you will join a team of ~10 incredible engineers focused on solving ambitious systems problems in service of delivering this remarkable product to our users.
Recent examples of the work the Database team focuses on include: evergreen efforts to drive down freshness https://materialize.com/blog/freshness/ & responsiveness https://materialize.com/blog/responsiveness/ while continuing to deliver correct, consistent https://materialize.com/blog/operational-consistency/ results; making each layer of the system more easily scalable; building the right primitives to integrate with the varied software development lifecycles of our users; unifying memory and disk through transparent use of swap; making our release process more predictable and reliable; writing clear documentation both internally and externally; improving observability and debugging tooling; and deleting lots of no-longer-needed code.
This role is based in our NYC office (by Astor Place), with an expectation of ≥3 days per week in person.
RESPONSIBILITIES
- Design and deliver improvements to the Database, with an eye on correctness, reliability, and performance.
- Own projects end-to-end, from early stage design to holding the pager.
- Debug and resolve complex distributed systems issues, sometimes directly with customers.
- Continually improve system reliability, observability, and automation.
- Collaborate across your team, with Product, with Field Eng, and all other stakeholders to align on direction, carefully prioritize, and build the best product for our users.
- Share your work through mentorship, demos, blog posts, and any other relevant channels.
ABOUT YOU
- You have several years of experience developing software, and are passionate about distributed systems and/or databases. If you don’t use it already, you’re excited to learn Rust.
- You take pride in owning your work all the way through. Whether it’s early design work, close code review, holding the pager, writing the docs, or teaching the system to your newest team member, you take responsibility for your work at every step.
- You strive to make your work easy for others to understand. You write clear design docs and write clear, well-documented code. You love to take hard problems and make them simpler. And still simpler—until all of the complexity is boiled away.
- You love to solve hard problems in service of the customer and you approach those hard problems from all perspectives. Some of your greatest engineering moments come from the times you solved problems by not writing any code.
- You’re excited about working at the intersection of frontier academic research and the fast-paced realities of a venture-backed startup. You love the multidimensional problem of balancing engineering resilience, delivery speed, and product value.
- You want to build something great.
STAFF SALARY RANGE: $200,000 - $230,000 + Equity
SENIOR SALARY RANGE: $170,000 - $205,000 + Equity
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
- Qualifications and relevant work experience
- Educational background and credentials
- Relevant skills and certifications
- Geographic location
- Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
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