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Mapbox
Actively Hiring7 open positions matching criteria
Developer Relations Manager
Marketing and Communications
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 Mapbox is looking for a Developer Relations Manager to lead our developer relations strategy, efforts to grow and engage the Mapbox developer community, and build programs that help developers successfully adopt and build with the Mapbox platform. In this role, you will lead a team responsible for connecting Mapbox with developers around the world. You’ll set the strategy for how we educate, engage, evangelize, and advocate for our developer community while remaining close to developers yourself. You’ll partner closely with Product, Engineering, Marketing, and other teams to bring the voice of the developer into Mapbox and ensure our community has the resources, content, and experiences they need to be successful. We are looking for a hands-on leader who combines technical credibility with strong people leadership and strategic thinking. You should be equally comfortable developing a developer relations strategy, coaching a team, digging into developer feedback and data, and representing Mapbox through technical content, events, social media content, and community engagement. Be deeply hands-on, using vibe coding to rapidly build and demonstrate map-powered apps that showcase what developers can create with Mapbox. Own and evolve the Developer Relations strategy for Mapbox, establishing priorities and programs that grow developer engagement, adoption, and advocacy. Lead, coach, and develop a high-performing Developer Relations team, providing clear priorities, feedback, and opportunities for growth. Build and cultivate a developer community that supports one another in learning how to use the Mapbox platform to power the navigation of people, packages, and vehicles everywhere. Develop scalable programs that educate and engage developers across technical content, community, social media, events, workshops, demos, webinars, social channels, and developer forums. Remain hands-on in the developer community by creating technical content, delivering talks and demos, engaging with developers, and representing Mapbox externally. Develop and nurture relationships with developers, customers, community leaders, and technical influencers. Identify and partner with developers to create content that enables and inspires their peers, including guest blogs, tutorials, videos, workshops, contributed articles, and social content. Serve as a key connection between the developer community and Mapbox Product and Engineering teams, synthesizing developer feedback and identifying opportunities to improve our products, documentation, and developer experience. Partner cross-functionally with Product, Engineering, Marketing, Sales, and other teams to align Developer Relations programs with broader company and product priorities. Build programs that enable Mapbox engineers and other internal technical experts to share their work and expertise with the developer community. Establish clear goals and success metrics for Developer Relations programs; use data, developer insights, and experimentation to evaluate impact and determine where the team should invest. Identify opportunities to scale Developer Relations through improved processes, tooling, content, community programs, and partnerships. Represent the needs and perspectives of developers internally and help ensure the developer experience remains central to how Mapbox builds and launches products. What We Believe are Important Traits for This Role 7+ years of experience in Developer Relations, Developer Advocacy, Developer Evangelism, software engineering, or a related technical field, including 3+ years of experience leading or developing others. Strong people leadership skills with experience coaching, developing, and setting priorities for a team. Experience building and executing Developer Relations strategies and programs, with demonstrated ability to translate company and product priorities into meaningful developer initiatives. Technical background with the ability to understand and communicate about APIs, SDKs, developer tools, and software development workflows. Engaging technical communicator with strong written and verbal skills and the ability to translate complex technical concepts into clear, useful content for developers. Experience creating and delivering technical talks, demos, workshops, webinars, videos, documentation, or other developer-facing content. Demonstrated ability to build authentic relationships and credibility within developer communities. Strong cross-functional leadership skills and experience influencing Product, Engineering, Marketing, and other stakeholders without relying solely on direct authority. Ability to move between strategy and execution - setting a vision while remaining willing to roll up your sleeves and contribute directly when needed. Experience defining metrics and using data and developer insights to evaluate program effectiveness, prioritize investments, and continuously improve. Ability to operate effectively across multiple technical platforms, from web APIs and SDKs to geospatial technology, data, and mobile development. Strong organizational and program management skills with the ability to prioritize across multiple initiatives in a fast-moving environment. Comfort operating in ambiguity, identifying opportunities, and building programs or processes where a playbook may not already exist. Enthusiasm for the power of Mapbox technology and its role in shaping the future of maps, location, and navigation. 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 $152,150 - $205,850 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
View more...Senior AI Engineer, MapGPT
Navigation
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
View more...Senior AI Engineer, MapGPT
Navigation
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
View more...Senior AI Engineer, Location AI
Location AI
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
View more...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
View more...Senior AI Engineer, Location AI
Location AI
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
View more...Senior AI Engineer, Location AI
Location AI
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
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