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About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the team/role We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering. Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily. This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk. This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer. We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results. What you’ll do Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services. Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together. Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end. Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion. Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect. Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first. What you bring A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience 6+ years building software professionally, with at least 2 of those building ML systems that run in production Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. Nice to have Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar) Background in document processing, OCR, or information extraction Experience with PySpark or large-scale data processing Ruby experience (Checkr’s platform runs on Rails) Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech) Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $207,000 — $244,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the role The Verifications team is responsible for one of Checkr's most expansive product portfolios, an ever growing suite of screening products empowering informed decisions across our enterprise customers. Employment and education verifications, drug and occupational health screenings, reference checks, and right-to-work – are several of the products this team improves to drive growth and customer retention. Our customers place candidates into widely different roles, industries, and regulatory environments, each with distinct compliance and screening requirements, necessitating rapid product iteration across multiple fronts concurrently. As Engineering Manager for Verifications, you'll own a wide surface area with meaningful room to make it better — improving accuracy and turnaround time, reducing manual touchpoints, and scaling how the team delivers across a complex mix of fulfillment integrations and compliance requirements. This role requires a focus on both immediate system scalability and long-term delivery process refinement. This includes near-term work on scaling data quality and automation systems to handle rapid growth, alongside strategic, longer-horizon investments in expanding coverage and building a faster, more consistent verification experience for our rapidly scaling candidate and customer base. What you’ll do Lead and grow the Verifications engineering team — setting technical direction, driving performance and career development conversations, and building a hiring pipeline that strengthens the team over time Own the reliability and quality of a broad portfolio of fulfillment integrations — partnering closely with vendors and internal stakeholders to reduce friction, improve turnaround times, and minimize candidate and customer impact when issues arise Partner with Product to define and execute the roadmap across employment, education, drug and health, and compliance products — translating customer and regulatory requirements into clear engineering priorities Drive technical strategy for scaling a complex, integration-heavy system — making deliberate architecture decisions that improve coverage, reduce manual exceptions, and build toward a more automated and consistent verification experience Lead the team's adoption of AI-assisted development practices — helping engineers move faster while maintaining the quality and accuracy standards that a regulated, data-sensitive product requires Represent Verifications in cross-functional planning — serving as the engineering voice on team capacity, tradeoffs, and roadmap sequencing with Product, Compliance, and Engineering leadership What you bring 4+ years as an engineering manager, with a track record of building and developing high-performing teams 8+ years as a software engineer, with strong command of service architecture, distributed systems, and system design Experience managing complex third-party integration environments — you’re comfortable owning reliability across systems you don’t fully control, and know how to structure teams and processes around that reality A track record of improving operational metrics — reducing incident frequency, improving detection time, or shipping reliability improvements in high-stakes production environments Familiarity with AI-assisted development and agentic coding tools — you understand how to help your team adopt these responsibly and can reason about the tradeoffs between velocity and quality they introduce Experience working on regulated products where data accuracy and legal compliance are non-negotiable Strong incident management skills — you can lead both the technical response and the stakeholder communication when things go wrong Ability to make prioritization decisions quickly, with a clear framework for balancing short-term reliability work against longer-term product investments Strong communication skills across technical and non-technical stakeholders — Product, Operations, Compliance, and senior leadership A genuine investment in developing people — through career conversations, stretch assignments, and creating conditions for engineers to grow Humility, openness to feedback, and eagerness to learn An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $233,000 — $274,000 USD On-target Earnings OR Base Salary range (Denver, CO) $197,000 — $232,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the role The Verifications team is responsible for one of Checkr's most expansive product portfolios, an ever growing suite of screening products empowering informed decisions across our enterprise customers. Employment and education verifications, drug and occupational health screenings, reference checks, and right-to-work – are several of the products this team improves to drive growth and customer retention. Our customers place candidates into widely different roles, industries, and regulatory environments, each with distinct compliance and screening requirements, necessitating rapid product iteration across multiple fronts concurrently. As Engineering Manager for Verifications, you'll own a wide surface area with meaningful room to make it better — improving accuracy and turnaround time, reducing manual touchpoints, and scaling how the team delivers across a complex mix of fulfillment integrations and compliance requirements. This role requires a focus on both immediate system scalability and long-term delivery process refinement. This includes near-term work on scaling data quality and automation systems to handle rapid growth, alongside strategic, longer-horizon investments in expanding coverage and building a faster, more consistent verification experience for our rapidly scaling candidate and customer base. What you’ll do Lead and grow the Verifications engineering team — setting technical direction, driving performance and career development conversations, and building a hiring pipeline that strengthens the team over time Own the reliability and quality of a broad portfolio of fulfillment integrations — partnering closely with vendors and internal stakeholders to reduce friction, improve turnaround times, and minimize candidate and customer impact when issues arise Partner with Product to define and execute the roadmap across employment, education, drug and health, and compliance products — translating customer and regulatory requirements into clear engineering priorities Drive technical strategy for scaling a complex, integration-heavy system — making deliberate architecture decisions that improve coverage, reduce manual exceptions, and build toward a more automated and consistent verification experience Lead the team's adoption of AI-assisted development practices — helping engineers move faster while maintaining the quality and accuracy standards that a regulated, data-sensitive product requires Represent Verifications in cross-functional planning — serving as the engineering voice on team capacity, tradeoffs, and roadmap sequencing with Product, Compliance, and Engineering leadership What you bring 4+ years as an engineering manager, with a track record of building and developing high-performing teams 8+ years as a software engineer, with strong command of service architecture, distributed systems, and system design Experience managing complex third-party integration environments — you’re comfortable owning reliability across systems you don’t fully control, and know how to structure teams and processes around that reality A track record of improving operational metrics — reducing incident frequency, improving detection time, or shipping reliability improvements in high-stakes production environments Familiarity with AI-assisted development and agentic coding tools — you understand how to help your team adopt these responsibly and can reason about the tradeoffs between velocity and quality they introduce Experience working on regulated products where data accuracy and legal compliance are non-negotiable Strong incident management skills — you can lead both the technical response and the stakeholder communication when things go wrong Ability to make prioritization decisions quickly, with a clear framework for balancing short-term reliability work against longer-term product investments Strong communication skills across technical and non-technical stakeholders — Product, Operations, Compliance, and senior leadership A genuine investment in developing people — through career conversations, stretch assignments, and creating conditions for engineers to grow Humility, openness to feedback, and eagerness to learn An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $233,000 — $274,000 USD On-target Earnings OR Base Salary range (Denver, CO) $197,000 — $232,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . We're seeking an experienced Senior Software Engineer to join our Data Platform team . This team plays a crucial role in our mission by building and maintaining scalable data platforms that support fair, safe hiring decisions. As a Senior Software Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer-facing products. You will work on high-impact projects that directly contribute to the next generation of products. As a Senior Software Engineer in the data organization, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface grows. You'll partner closely with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal, directly enabling the fair and safe hiring decisions at the heart of Checkr's growth. What you’ll do: Design, build, and ship core services and data pipelines for Checkr's centralized data platform Bring a customer-centric, product-oriented mindset to the table by collaborating with customers and internal stakeholders to resolve product ambiguities and ship impactful features Partner with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal to turn ambiguous problems into shipped features Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP Deliver performant, reliable, and secure code, with quality and testing as a default rather than a phase Participate in on-call; monitor, triage, and resolve production issues for services the team owns Mentor engineers and raise the bar through design and code review What you bring: 5+ years of development experience in the field of software engineering, preferably working with data Strong proficiency in Python or similar languages, and strong SQL skills Experience with ETL/ELT, and stream and batch processing of data at scale Experience running data processing workloads in the cloud at scale; AWS expertise (S3, EMR, Glue, Athena, EKS, Lambda) preferred Comfort working with AI tools day-to-day, and the ability to build simple AI-powered tools or workflows that boost team or org productivity Good understanding of database systems and data modeling, across both relational (SQL) and NoSQL databases (such as MongoDB) Strong problem-solving skills and attention to detail Nice to have: Experience with big data technologies such as PySpark, Kafka, Spark, Iceberg, and Datalake architectures Experience with real-time, low-latency data processing Experience/knowledge of data processing platforms such as Databricks or Snowflake. An understanding of Graph and Vector data stores #LI-TD1 Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $185,000 — $218,000 USD On-target Earnings OR Base Salary range (Denver, CO) $157,000 — $185,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . We're seeking an experienced Senior Software Engineer to join our Data Platform team . This team plays a crucial role in our mission by building and maintaining scalable data platforms that support fair, safe hiring decisions. As a Senior Software Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer-facing products. You will work on high-impact projects that directly contribute to the next generation of products. As a Senior Software Engineer in the data organization, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface grows. You'll partner closely with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal, directly enabling the fair and safe hiring decisions at the heart of Checkr's growth. What you’ll do: Design, build, and ship core services and data pipelines for Checkr's centralized data platform Bring a customer-centric, product-oriented mindset to the table by collaborating with customers and internal stakeholders to resolve product ambiguities and ship impactful features Partner with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal to turn ambiguous problems into shipped features Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP Deliver performant, reliable, and secure code, with quality and testing as a default rather than a phase Participate in on-call; monitor, triage, and resolve production issues for services the team owns Mentor engineers and raise the bar through design and code review What you bring: 5+ years of development experience in the field of software engineering, preferably working with data Strong proficiency in Python or similar languages, and strong SQL skills Experience with ETL/ELT, and stream and batch processing of data at scale Experience running data processing workloads in the cloud at scale; AWS expertise (S3, EMR, Glue, Athena, EKS, Lambda) preferred Comfort working with AI tools day-to-day, and the ability to build simple AI-powered tools or workflows that boost team or org productivity Good understanding of database systems and data modeling, across both relational (SQL) and NoSQL databases (such as MongoDB) Strong problem-solving skills and attention to detail Nice to have: Experience with big data technologies such as PySpark, Kafka, Spark, Iceberg, and Datalake architectures Experience with real-time, low-latency data processing Experience/knowledge of data processing platforms such as Databricks or Snowflake. An understanding of Graph and Vector data stores #LI-TD1 Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $185,000 — $218,000 USD On-target Earnings OR Base Salary range (Denver, CO) $157,000 — $185,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . As a Staff Software Engineer on the People Data team, you'll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkr's Workforce, Mortgage, Tenant, Trust, and Personal products, making it foundational to the company's AI-powered verification platform and every high-stakes decision our customers make. In this role, you'll own the core services, data pipelines, and architecture that keep this platform scalable, reliable, and ready for the next generation of Checkr products. You'll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the company's most critical platforms. What you'll do Architect, design, lead, and build an end-to-end, performant, reliable, scalable data platform. Work as an independent contributor: solve problems and deliver high-quality solutions with minimal oversight and strong ownership. Mentor and guide junior engineers to deliver complex, next-generation features. Bring a customer-centric, product-oriented mindset. Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems. Partner with engineering, product, design, and other stakeholders to design and architect new features. Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP. Quality mindset: you treat quality as a non-negotiable part of your software deliverables. Analytical mindset: instrument and deploy new product experiments with a data-driven approach. Monitor, triage, and resolve production issues for the team's services. Create and maintain data pipelines and foundational datasets to support product and business needs. What you bring 10+ years designing, implementing, and delivering highly scalable, performant data platforms. Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing. Expert-level proficiency in PySpark, Python, and SQL. Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB). Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.). Knowledge of security best practices and data privacy concerns. Strong problem-solving skills and attention to detail. Nice to have: Experience or knowledge of data processing platforms such as Databricks or Snowflake. An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. #LI-TD1 Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $224,000 — $264,000 USD On-target Earnings OR Base Salary range (Denver, CO) $190,000 — $223,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . As a Staff Software Engineer on the People Data team, you'll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkr's Workforce, Mortgage, Tenant, Trust, and Personal products, making it foundational to the company's AI-powered verification platform and every high-stakes decision our customers make. In this role, you'll own the core services, data pipelines, and architecture that keep this platform scalable, reliable, and ready for the next generation of Checkr products. You'll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the company's most critical platforms. What you'll do Architect, design, lead, and build an end-to-end, performant, reliable, scalable data platform. Work as an independent contributor: solve problems and deliver high-quality solutions with minimal oversight and strong ownership. Mentor and guide junior engineers to deliver complex, next-generation features. Bring a customer-centric, product-oriented mindset. Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems. Partner with engineering, product, design, and other stakeholders to design and architect new features. Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP. Quality mindset: you treat quality as a non-negotiable part of your software deliverables. Analytical mindset: instrument and deploy new product experiments with a data-driven approach. Monitor, triage, and resolve production issues for the team's services. Create and maintain data pipelines and foundational datasets to support product and business needs. What you bring 10+ years designing, implementing, and delivering highly scalable, performant data platforms. Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing. Expert-level proficiency in PySpark, Python, and SQL. Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB). Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.). Knowledge of security best practices and data privacy concerns. Strong problem-solving skills and attention to detail. Nice to have: Experience or knowledge of data processing platforms such as Databricks or Snowflake. An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes. #LI-TD1 Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (San Francisco, CA) $224,000 — $264,000 USD On-target Earnings OR Base Salary range (Denver, CO) $190,000 — $223,000 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).

About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company . About the Role We're looking for a Staff Operations AI Engineer who will architect, build, and refine the intelligent systems that power Checkr’s AI-driven operations. In this role, you'll be the technical expert responsible for designing the integrations, workflows, and data structures that enable AI Agents and automation to operate reliably at scale. You’ll work across system integration, workflow orchestration, application logic, data transformation, AI guardrails, and multi-platform automation—translating leadership’s strategic direction into high-quality technical execution. You’ll own complex, high-impact projects end-to-end, serve as a technical authority across teams, and develop robust systems that materially improve operational efficiency and AI performance. What You’ll Do AI Agent Integration & Automation Architecture Design and own the integration architecture that enables AI Agents to operate safely and reliably across Checkr systems and third-party platforms. Build production-grade API integrations with secure authentication flows, webhook and event-driven patterns, and robust automation workflows that coordinate actions across tools like Zendesk, Salesforce, and internal services. Ensure AI-driven operations are resilient through strong error handling, retries, observability, and fallback mechanisms. Proactively identify integration gaps, system bottlenecks, and failure modes, and lead the technical solutions that improve reliability and scale. Systems Engineering & Data Foundations Build and maintain the technical foundations that power AI-driven workflows, including structured data pipelines, normalized schemas, and predictable JSON inputs for LLMs. Establish engineering standards for workflow design, code quality, and system observability. Communicate architecture clearly through documentation and diagrams, and serve as a technical authority across teams to ensure consistent, high-quality execution. AI Quality, Safety & Guardrails Implement guardrails, validation rules, and safety checks that ensure AI Agents act responsibly and accurately in production. Evaluate model output quality and continuously refine prompts, transformations, and logic to improve consistency, reliability, and trust in AI-driven decisions. What You Bring Required Experience 5-7+ years in automation platforms, integration architecture, or AI-enabled operations Deep expertise in API design, OAuth/token-based authentication, webhooks, and event-driven systems Proven experience building reliable automation workflows with observability, retries, and failure handling Strong JavaScript and Python expertise for backend logic, scripting, and internal tooling Solid SQL experience for data transformation, validation, and operational analytics (Snowflake a plus) Advanced comfort with JSON, schemas, and data normalization for LLM and automation use cases Hands-on experience running LLM-powered agents or automations in production, including guardrails and output validation, with proven experience in prompt engineering frameworks Familiarity with integrating with CRM and support systems (e.g., Salesforce, Zendesk) An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes Systems & Architecture Track record designing end-to-end integration architectures across multiple platforms Ability to translate complex operational needs into scalable, maintainable technical systems Experience in anticipating API changes, schema drift, and downstream impacts in production environments Mindset & Leadership Systems thinker who understands how data, automation, and AI interact across the stack Strong sense of ownership and commitment to building reliable, testable, observable systems High bar for engineering rigor, with sound judgment around AI safety, governance, and compliance Clear communicator who collaborates effectively across technical and non-technical partners Role model of Checkr’s values; mentors others and contributes to a healthy, inclusive team culture Nice-to-Have Experience Direct experience with Tray.io / Make / Zapier / UiPath Programming experience in Python Snowflake specifically (vs strong SQL generally) Salesforce or Zendesk integrations Front-end UI widgets / embeds Prior work in operations technology specifically (vs platform, infra, or product engineering) Pay Transparency Disclosure We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website . On-target Earnings OR Base Salary range (Denver, CO) $150,000 — $176,000 USD On-target Earnings OR Base Salary range (Nashville, TN) $136,000 — $159,980 USD What We Offer A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance . Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com ).