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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 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 ).

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 As the Senior Engineering Manager for Mortgage, you’ll lead 16+ engineers as the head of engineering for Checkr’s mortgage business. Reporting to the VP of Engineering with visibility to executive leadership, you’ll own the product end to end from APIs and integrations to AI/ML-powered verification decisions and the customer experience. You’ll operate as a business leader, not just an engineering leader: partnering with Product to shape strategy, owning the technical roadmap and delivery against growth targets, and building the team and systems needed to serve the country’s largest lenders. We’re looking for a hands-on technical leader who has built and scaled high-performing engineering teams and production systems, while staying close to architecture and execution. Experience in mortgage lending or another regulated, high-stakes industry is a plus. The stakes are real: the systems you build directly impact people’s ability to get a mortgage, giving you the opportunity to drive meaningful customer and business impact at scale. What you’ll do Own the technical roadmap and architecture for the Mortgage platform and partner with product management to co-own product direction, build new features, and enhance existing ones, decisions here affect millions of consumers a year Own delivery for the Mortgage business line, and partner with the business's leadership as a peer, jointly accountable for the business's results, Set the technical direction for the team, reduce technical debt, and scale the architecture sustainably while maintaining delivery speed, advancing Checkr into the next generation of product offerings Represent engineering in annual strategy planning, including capacity modeling, headcount planning, and prioritization tradeoffs. Manage quality incidents as both technical lead and communication lead Hire and continually raise the bar for engineering talent, and mentor team members in a way that supports their individual career growth Build direct relationships with customers and drive results in partnership with them What you bring 8+ years as an engineering manager and 12+ years as an engineer overall, including experience managing large teams, in addition to managing managers Experience owning a P&L or business line, including revenue targets, capacity planning, and cross-functional accountability, ideally for products operating at scale in highly regulated environments, with an understanding of the related data, legal, and human impact considerations Deep understanding of service architecture, system design, and lean software development principles, with the ability to make high-level prioritization decisions quickly, balancing technical and business tradeoffs Strong written and verbal communication skills, able to translate technical strategy into business terms for executives Experience with machine learning and AI, and enthusiasm for working in an AI-native company where AI is embedded across how we build and operate Humility, openness to feedback, and eagerness to learn A-player mindset: a strong bias for action, urgency, resilience through ambiguity, and ownership of 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) $269,000 — $316,000 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 team/role The Screenings & Verifications organization at Checkr develops and delivers the screening and verification products that power informed risk assessments for our customers. Our screening products span criminal history checks, driving records, employment verifications, and more, helping customers place candidates into jobs across a diverse range of industries and markets. Our mandate is to build high-quality products that drive revenue growth and customer satisfaction, across a complex, regulated domain. As a Staff Engineer in this organization, you'll operate across several product engineering teams, driving the technical architecture of complex, multi-system workflows. You'll define how screening products are structured, how they interact with our candidate-facing systems, how they integrate with vendor data pipelines, and how we build repeatable patterns that accelerate the whole org. You'll set the technical bar and raise it through hands-on work, architecture leadership, and cross-team influence. What you’ll do Own development of the product from ideation, design, implementation, to release Bring a customer-centric, product-first mindset to the table - collaborate with Design, Product, Data, and others to instrument and deploy new product experiments and ship impactful features Define and lead technical initiatives to enable growth at scale and address technical debt, both within the team and across the organization Provide mentorship to engineers on the team and across the organization Spread development best practices through knowledge sharing and documentation Partner with product and engineering management in quarterly and annual planning activities Ensure the quality, reliability, and scalability of our services What you bring Bachelor’s degree in Computer Science or related field, or equivalent practical experience 10+ years of software development experience and 3+ years experience in a project leadership role Deep expertise in backend development (e.g., Ruby, Node.js, or similar), with working proficiency in frontend technologies such as JavaScript and React to support API development and integrations Experience building scalable systems with automated testing, observability, and high performance (A/B testing a plus) A strong sense of ownership from feature design through production release A proven ability to collaborate effectively with technical and non-technical stakeholders Strong communication, project management, and a commitment to mentoring engineers 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) $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 team/role The Screenings & Verifications organization at Checkr develops and delivers the screening and verification products that power informed risk assessments for our customers. Our screening products span criminal history checks, driving records, employment verifications, and more, helping customers place candidates into jobs across a diverse range of industries and markets. Our mandate is to build high-quality products that drive revenue growth and customer satisfaction, across a complex, regulated domain. As a Staff Engineer in this organization, you'll operate across several product engineering teams, driving the technical architecture of complex, multi-system workflows. You'll define how screening products are structured, how they interact with our candidate-facing systems, how they integrate with vendor data pipelines, and how we build repeatable patterns that accelerate the whole org. You'll set the technical bar and raise it through hands-on work, architecture leadership, and cross-team influence. What you’ll do Own development of the product from ideation, design, implementation, to release Bring a customer-centric, product-first mindset to the table - collaborate with Design, Product, Data, and others to instrument and deploy new product experiments and ship impactful features Define and lead technical initiatives to enable growth at scale and address technical debt, both within the team and across the organization Provide mentorship to engineers on the team and across the organization Spread development best practices through knowledge sharing and documentation Partner with product and engineering management in quarterly and annual planning activities Ensure the quality, reliability, and scalability of our services What you bring Bachelor’s degree in Computer Science or related field, or equivalent practical experience 10+ years of software development experience and 3+ years experience in a project leadership role Deep expertise in backend development (e.g., Ruby, Node.js, or similar), with working proficiency in frontend technologies such as JavaScript and React to support API development and integrations Experience building scalable systems with automated testing, observability, and high performance (A/B testing a plus) A strong sense of ownership from feature design through production release A proven ability to collaborate effectively with technical and non-technical stakeholders Strong communication, project management, and a commitment to mentoring engineers 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) $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 . We are hiring a Senior Engineering Manager to lead the Machine Learning Engineering team inside Checkr’s Data & ML organization. This team sits at the heart of our product's strategic advantage, making millions of background checks faster, more accurate, and more trustworthy. The team owns three connected areas: Core product intelligence: NLP and classification systems, entity resolution, profile integrity, model accuracy, and the production services that power Checkr’s products. Workforce integrity: resume and identity fraud, multi-signal risk detection, and new products that help customers identify sophisticated hiring fraud ML and agent infrastructure: evaluation systems, observability, model lifecycle, agent orchestration, and reusable infrastructure that helps every team ship reliable AI faster. This is an engineering leadership role, not a research-management role: you will lead ML engineers across seniority levels, stay close enough to the work to set technical direction, and hold the team accountable for production outcomes. You will decide where ML should continue to create a strategic advantage for Checkr. You will also shape Checkr’s broader AI strategy. The near-term agenda includes building a measurable accuracy moat in our core products, launching an end-to-end workforce-integrity product, and creating the evaluation and knowledge infrastructure required to operate AI agents in a regulated domain. This role reports to the Sr. Director of Data & ML within Engineering. This role is based in San Francisco. We are looking for someone who is seeking less process and more shipping, less paperwork and more results. What you’ll do Lead and grow the ML Engineering team . Hire, coach, and develop ML engineers. Set clear ownership, grow technical leaders, and build a team that generates its own roadmap. Set the strategy and roadmap . Turn ambiguous company priorities into a focused, multi-quarter ML agenda. Put investment on work that improves customer outcomes, revenue, accuracy, reliability, or cost. Stop work that does not. Raise the production engineering bar . Models and agents ship as dependable software: clear APIs, tests, CI/CD, observability, on-call ownership, and defined reliability targets. Build the ML operating model. Establish shared approaches to evaluation, golden sets, training-data provenance, model and prompt versioning, monitoring, retraining, latency, and cost. Replace artisanal evaluation with repeatable systems. Advance core product intelligence . Guide systems for classification, information extraction, entity resolution, profile integrity, and accuracy. Make model quality measurable in production and drive the feedback loops that improve it. Launch new AI and fraud products . Partner with Product, Security, Operations, and go-to-market teams to turn signals across identity, resume, device, and employment data into customer products. Lead Checkr’s agentic transition . Guide the design of AI systems that combine specialized models, LLMs, tools, and governed knowledge. Operate as an executive partner . Explain technical choices and risks in plain language. Align Product Engineering, Product, Operations, Legal, Security, and company leadership when incentives or constraints conflict. Model AI-native leadership . Use AI to increase the team’s speed and ambition. Keep ownership of every output. As generated code becomes cheaper, raise the bar on judgment, verification, and system design. What you bring 10+ years building software and machine learning or AI systems, with a clear progression in scope and impact. 3+ years managing ML or software engineers, including hiring and developing senior and staff-level technical leaders. A strong software-engineering foundation and a record of shipping ML systems that run in production. Technical depth across the ML lifecycle: data and labeling, experimentation, model selection, deployment, APIs, CI/CD, observability, evaluation, retraining, and incident response. Sound judgment across classical ML, deep learning, LLMs, rules, and conventional software. Experience setting direction for NLP, classification, extraction, entity resolution, risk, fraud, recommendation, or similarly complex applied-ML domains. Fluency with modern LLM systems, including structured outputs, tool use, agent orchestration, retrieval, evaluation, latency, quality, and cost trade-offs. A record of translating an ambiguous business problem into a sharp roadmap, measurable outcomes, and shipped systems. Strong people leadership. You create leverage through clear ownership, candid feedback, delegation, and coaching. Executive-level communication and cross-functional influence. You can make a hard technical trade-off legible to senior leaders and leave the room with a decision. You use modern AI tools to move faster, verify their output, and can spot plausible-looking work that should not ship. 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 Built ML infrastructure or MLOps platforms used by multiple teams. Document intelligence, OCR, graph systems, identity resolution, trust and safety, fraud, or risk. Operated ML in a compliance-sensitive domain such as fintech, legal tech, HR tech, healthcare, or security. Python, AWS/SageMaker or similar cloud ML platforms, Snowflake, Spark, and modern data tooling. Launched a new AI product from early customer discovery through production scale. #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) $302,000 — $355,000 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 team/role Checkr Trust is building safer communities by providing our customers with risk signals about its users. Every year, our team provides insights on tens of millions of users across multiple verticals: online dating, car rental, short-term rentals, and many more. We acquire, analyze, and deliver insights in smart, scalable ways that help organizations identify and mitigate risk. Trust is part of the Checkr start-up lab: we operate with the speed of a small startup, while enjoying the leverage and resources of a known technology brand. Since launching, we’ve seen significant growth and we are looking for a Senior Full Stack Software Engineer to play a pivotal role in the continued growth of our startup. As part of our small team, you will be empowered to take significant end-to-end ownership - from idea to execution to real customer and business impact. What you’ll do: Work closely with customers, engineers, and leaders to design, build, and launch new products. Take full ownership of the entire process of developing end-to-end applications – from shaping the idea to delivering the finished application. Embrace a customer-centric, product-first approach – partner directly with customer success, customers and stakeholders to better understand their needs and turn those into useful features. Keep code reliable and easy to maintain with solid testing, thoughtful reviews, and good practices. Run and measure product experiments, using what you learn to guide future development. Building scalable APIs and asynchronous event-based architecture that can reliably handle very high traffic, including integrating with third-party services to expand what our products can do. What you bring: BS/MS degree in either computer science or an engineering discipline. Have founded or held early roles at successful fast-paced startups. 5+ years of full stack software development experience. Advanced knowledge in Ruby (Rails), Javascript (React), or similar languages/frameworks. Comfortability working with AI tools day-to-day, and the ability to build simple AI-powered tools or workflows that boost team or org productivity. Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP. Early-stage approach: comfort with ambiguity, balancing speed and perfection, and the confidence and curiosity to help guide product direction. 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 building scalable technical architecture that can scale to 10mm+ users (including observability tooling, container orchestration, etc). Background in trust & safety, IDV, background check products or criminal data. Expertise in data analysis and processing. Experience building and working with scrapers and scraping technology 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 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 ).