Careers at Mapbox

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do Mapbox is looking for a Senior Software Engineer to join our Security & Compliance team. As a member of our diverse and globally distributed team, you’ll help all Mapbox engineers build secure-by-default systems. Engineers on the Security & Compliance team build scanning and threat detection systems to monitor Mapbox’s cloud deployment (AWS-native, mainly container-based, 7 global regions including China) and other digital assets. They conduct risk assessments of new vendor integrations and product launches, and facilitate a bug bounty program that leverages the diverse expertise of a global community of security researchers. Lastly, they build and maintain core standards around security, quality, and privacy—reflected in our compliance certifications—and the automation to monitor and enforce these standards across Mapbox. What You'll Do We’re excited to share our passion for scalable, engineering-driven, security with you, and for your perspective to help shape our team’s goals. You will be responsible for contributing to, operating, and improving all things related to our security and compliance services. In this role, you can expect to: Conduct AWS security reviews (deep dive into our AWS environment to validate security best practices are being followed). Make security improvements recommendations and work with our production support teams to implement security improvement in AWS. Partner with the Lead Security Architect in fixing custom-built security tools bots. Conduct in-depth security reviews of application code, working closely with developers to code securely from the outset and address issues early during coding and testing phases. Partner with internal product teams to implement a secure-by-default design into their own products. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important for This Role Bachelor’s or higher degree in Computer Science or similar 5+ years of experience in product or application security and related software engineering roles Experience with AWS services like GuardDuty, CloudTrail log review, IAM, Security Groups, CloudFront, CloudFormation, S3, ECS, Lambda, DynamoDB and RDS. Proficiency in a programming language (e.g. Python, JavaScript or Node.js or TypeScript), testing practices, and documentation. Subject matter expertise in security best practices and the ability to quickly make correct risk assessments that prioritize the overall benefit to the company. Employment Requirements Employment Type: Full-time Weekly Hours: 40 h per week Location/Hybrid Policy: Remote (from any city in Germany) What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How We Support You Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Comprehensive Healthcare: Private medical coverage for you and your dependents. Family-First Support: Generous maternity and paternity leave policies to support your growing family. Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Invest & Grow: Retirement plans with competitive matching. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What you'll do This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. In this role, you will: Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design review, and bring other engineers up on eval practice. Some of the technical questions in this area are still open. You will help answer them. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important Traits for This Role Required Education/Certification: Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. Technical Skills & Tools (Must-Haves): 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Core Competencies & Scope: Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Experience diagnosing latency in a distributed request path. Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. Nice to Have Traits for this Role Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. Work under constrained compute, offline, or intermittent connectivity. Experience operating a product through its first external integrations, where the customer finds the gaps before you do. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How We Support You Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Comprehensive Healthcare: Private medical coverage for you and your dependents. Family-First Support: Generous maternity and paternity leave policies to support your growing family. Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Invest & Grow: Retirement plans with competitive matching. Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information. By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here. Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation and Right to Work posters for more information. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What you'll do This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. In this role, you will: Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design review, and bring other engineers up on eval practice. Some of the technical questions in this area are still open. You will help answer them. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important Traits for This Role Required Education/Certification: Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. Technical Skills & Tools (Must-Haves): 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Core Competencies & Scope: Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Experience diagnosing latency in a distributed request path. Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. Nice to Have Traits for this Role Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. Work under constrained compute, offline, or intermittent connectivity. Experience operating a product through its first external integrations, where the customer finds the gaps before you do. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How We Support You Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Comprehensive Healthcare: Private medical coverage for you and your dependents. Family-First Support: Generous maternity and paternity leave policies to support your growing family. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Invest & Grow: Retirement plans with competitive matching. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What you'll do This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. In this role, you will: Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design review, and bring other engineers up on eval practice. Some of the technical questions in this area are still open. You will help answer them. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important Traits for This Role Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Experience diagnosing latency in a distributed request path. Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack. Nice to have traits for this role Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. Work under constrained compute, offline, or intermittent connectivity. Experience operating a product through its first external integrations, where the customer finds the gaps before you do. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How we support you Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. Family-First Support: Family care, maternity and paternity leave policies to support your growing family. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. What You'll Do We are looking for smart, fast-learning engineers driven by the challenge of developing core components of the Mapbox navigation ecosystem. As a C++ Developer, you will: Build and maintain a unified C++17 library that runs seamlessly across iOS, Android, and low-power automotive embedded hardware. Analyze and improve map-matching and dead-reckoning algorithms using real-world data from millions of vehicles. Implement route-following features, including high-frequency route progress reporting, deviation detection, and timely instruction delivery. Work on road object matching (OpenLR) and live traffic incidents to give drivers a predictive "window" into the road ahead. Design predictive caching for routing tiles and manage complex on-board resources like junction views and signposts. Integrate and extend the Valhalla routing engine to support offline routing and route refresh controllers. Thoughtfully leverage AI tools in your design and development workflow to increase efficiency and code quality. What We Believe are Important Traits for This Role Strong proficiency (min 7 years of experience) in C++17 (or later) with a deep understanding of the language specification, memory management, standard library, and multi-threading. A passion for writing clean, fast, and portable code that adheres to strict CPU and memory constraints. Experience working with complex graph-based structures, data structures, and spatial algorithms. Proven experience developing cross-platform code (Linux, mobile, or embedded systems). Strong English skills, with the ability to explain complex technical trade-offs to both peers and stakeholders. Would be a Plus Familiarity with navigation concepts (dead reckoning, bearing, Electronic Horizon, or OpenLR). Experience working with IMU, OBD-II, or GNSS data. Background in computational geometry or safety-critical features (ADAS). Experience with or contribution to open source routing engines. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How we support you Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. Family-First Support: Family care, maternity and paternity leave policies to support your growing family. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What you'll do This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. In this role, you will: Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design review, and bring other engineers up on eval practice. Some of the technical questions in this area are still open. You will help answer them. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important Traits for This Role Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Experience diagnosing latency in a distributed request path. Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack. Nice to have traits for this role Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. Work under constrained compute, offline, or intermittent connectivity. Experience operating a product through its first external integrations, where the customer finds the gaps before you do. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How we support you Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. Family-First Support: Family care, maternity and paternity leave policies to support your growing family. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What you'll do This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. In this role, you will: Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design review, and bring other engineers up on eval practice. Some of the technical questions in this area are still open. You will help answer them. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important Traits for This Role Required Education/Certification: Bachelors Degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. Technical Skills & Tools (Must-Haves): 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. Core Competencies & Scope: Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. Working knowledge of more than one agent harness, and opinions about where each of them is weak. Experience diagnosing latency in a distributed request path. Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. Nice to Have Traits for this Role Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. Work under constrained compute, offline, or intermittent connectivity. Experience operating a product through its first external integrations, where the customer finds the gaps before you do. Employment Requirements Employment Type : Full-time Weekly Hours : 40 h per week Location/Hybrid Policy : Remote (from any city in Germany) What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How we support you Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. Family-First Support: Family care, maternity and paternity leave policies to support your growing family. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do Mapbox is looking for a Senior Software Engineer to join our Security & Compliance team. As a member of our diverse and globally distributed team, you’ll help all Mapbox engineers build secure-by-default systems. Engineers on the Security & Compliance team build scanning and threat detection systems to monitor Mapbox’s cloud deployment (AWS-native, mainly container-based, 7 global regions including China) and other digital assets. They conduct risk assessments of new vendor integrations and product launches, and facilitate a bug bounty program that leverages the diverse expertise of a global community of security researchers. Lastly, they build and maintain core standards around security, quality, and privacy—reflected in our compliance certifications—and the automation to monitor and enforce these standards across Mapbox. What You'll Do We’re excited to share our passion for scalable, engineering-driven, security with you, and for your perspective to help shape our team’s goals. You will be responsible for contributing to, operating, and improving all things related to our security and compliance services. In this role, you can expect to: Conduct AWS security reviews (deep dive into our AWS environment to validate security best practices are being followed). Make security improvements recommendations and work with our production support teams to implement security improvement in AWS. Partner with the Lead Security Architect in fixing custom-built security tools bots. Conduct in-depth security reviews of application code, working closely with developers to code securely from the outset and address issues early during coding and testing phases. Partner with internal product teams to implement a secure-by-default design into their own products. Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. What We Believe are Important for This Role Bachelor’s or higher degree in Computer Science or similar 5+ years of experience in product or application security and related software engineering roles Experience with AWS services like GuardDuty, CloudTrail log review, IAM, Security Groups, CloudFront, CloudFormation, S3, ECS, Lambda, DynamoDB and RDS. Proficiency in a programming language (e.g. Python, JavaScript or Node.js or TypeScript), testing practices, and documentation. Subject matter expertise in security best practices and the ability to quickly make correct risk assessments that prioritize the overall benefit to the company. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. How We Support You Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. Comprehensive Healthcare: Private medical coverage for you and your dependents. Family-First Support: Generous maternity and paternity leave policies to support your growing family. Fertility & Family Building: Inclusive fertility support. Grow your family on your terms. Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. Balance & Brainpower: Mental health support for you and your dependents. Rest & Recharge: Flexible paid time away, company holidays, and generous absence policies. Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Invest & Grow: Retirement plans with competitive matching. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote