Liftoff

You will lead internal offensive security testing and continuous AI-assisted assessments, then work with engineering teams to validate vulnerabilities, remediate risks, and improve security posture. | The role requires 5+ years of relevant security engineering experience, hands-on penetration testing and infrastructure assessment, production-quality automation coding, and strong application, API, and cloud security knowledge. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. About Liftoff Security Team The Liftoff Security team protects Liftoff's customers, users, and employees. We architect Liftoff's security posture, build the tools and systems that defend it, and partner with engineering teams as they ship new products and features. Our work spans the entire stack — infrastructure, web, mobile, and IT — and we approach security from a software engineering standpoint, scaling our impact through automation and well-designed tools. As our Senior Security Engineer, Offensive Security, you will own internal offensive testing and lead the move from point-in-time penetration tests to continuous, AI-assisted testing. You will independently plan assessments, safely validate vulnerabilities, work with engineering teams through remediation and retesting, and build sustained knowledge of our source code and systems. You will contribute across application, cloud, and infrastructure security, support Accelerate and MX as priorities change, and share the team's on-call and incident-response work. Responsibilities Independently plan and execute internal penetration tests across applications, APIs, cloud infrastructure, and corporate systems; prioritize assessments by risk and business impact. Define testing scope and rules of engagement with system owners, assess production risk, and choose safe methods for validating vulnerabilities. Combine hands-on testing with source-code review and architectural analysis to find vulnerabilities and demonstrate realistic attack paths. Partner with engineering teams to explain findings, agree on practical fixes, track remediation, and retest to confirm the risk is resolved. Maintain knowledge of Liftoff’s systems and attack surface, revisit high-risk attack paths as systems change, and turn confirmed findings into repeatable tests. Build testing tools and workflows that combine hands-on assessments with ongoing automated testing and remediation validation. Make security testing self-service where practical through reusable tests, documented assessment and retesting workflows, and clear remediation guidance. Support the annual third-party penetration test for independent validation and customer and audit requirements; coordinate scope and follow findings through remediation. Lead adoption of AI-assisted offensive security tooling: evaluate platforms and build workflows for code analysis, test generation, and finding triage; measure coverage, accuracy, and effort saved. Partner with Detection & Response to turn validated attack paths and offensive findings into detection improvements and incident-response exercises. Work across application, cloud, and infrastructure security as priorities change, including Accelerate and MX, and share the team’s on-call and incident-response rotation, including occasional off-hours response and post-incident follow-up. Minimum qualifications 5+ years of relevant security engineering experience, including substantial hands-on penetration testing of applications and infrastructure. Excellent judgment in prioritizing testing by risk, assessing production impact, and safely validating exploits without unnecessary disruption. Experience independently owning assessments and partnering with engineering teams from initial findings through remediation and retesting. Write production-quality code for security tools and automation, review pull requests, and navigate large, unfamiliar codebases. Develop safe proof-of-concept code and independently validate AI-generated code and findings. Strong understanding of application and API security, authentication and authorization, network security, and common vulnerability classes. Hands-on experience assessing cloud and infrastructure security, including identity and access controls, configuration, and attack paths. Ability to quickly understand complex systems and architecture and contribute across application, cloud, and infrastructure security. Practical software engineering habits: testing, observability, version control, peer code review, continuous integration, and blameless postmortems. Strong technical writing: clear assessment plans, proposals, reproducible findings, runbooks, and post-incident reviews that support engineering decisions. Explain exploitability and business impact clearly in writing and conversation. Willingness to share the security team’s on-call and incident-response responsibilities, including occasional off-hours response. Desirable qualifications Experience with Go, Python, Clojure, or JavaScript; ability to work across languages matters more than a specific language. Experience building AI-assisted security testing workflows and measuring the accuracy and usefulness of their results. Experience securing large-scale cloud systems, mobile advertising, or other high-volume SaaS environments. Why This Role is Exciting Ownership & Impact: Build and own our in-house offensive security capability, from selecting assessments to confirming fixes. Broad Attack Surface: Test applications, APIs, cloud infrastructure, and corporate systems with access to source code and engineering context. Engineering Partnership: Work with teams that value security and stay involved through remediation and retesting. Room to Grow: Move from point-in-time penetration tests to continuous testing and lead adoption of AI-assisted offensive security tools. Hands-On Technical Work: Investigate complex systems, validate vulnerabilities safely, and build tools that make testing more effective. Compensation: The following are our base salary ranges for this role: SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $200,000 - $250,000 plus bonus All other cities and towns in our approved states: $184,000 - $220,000 plus bonus #LI-EL1 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here. Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

You would own infrastructure projects supporting server provisioning, rapid deployments, service configuration, and high-scale real-time data pipelines. | The role requires a bachelor's degree in computer science or a related field, at least five years of software engineering experience, and demonstrated cloud and distributed-systems expertise. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. The Infrastructure Team at Liftoff builds the tooling necessary for managing and monitoring thousands of servers which run dozens of services. This includes host provisioning and configuration, rapid code deployment, service configuration and monitoring tools, and automated code testing and linting. Liftoff moves around hundreds of TB of data each day, and this team owns most of the infrastructure which powers our real-time data pipelines. As a Software Engineer at Liftoff, you will: Have end-to-end ownership of projects, and collaborate with a small team of world-class engineers with diverse backgrounds. Ship code multiple times a day, and within seconds see its quantified impact on millions of users and our business's revenue. Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review. Become an authority in Go and many other cutting-edge open-source technologies. Join a nimble, consistently excellent, and experienced engineering team. Desired qualities and experiences: Strong coding ability (experience in Go is a plus, but not necessary). Bachelor’s degree in Computer Science or related fields and 5+ years software engineering experience. Solid core CS fundamentals (data structures, algorithms, architecting systems). Experience with any major cloud technologies (AWS, Azure, or GCP) Experience building high scale distributed systems and backend architectures. Self-motivated, detail-oriented, and eager to learn and get things done. Genuine interest and/or experience in debugging and troubleshooting complex distributed systems problems. NICE TO HAVE: Expertise in managing Kafka Expertise in data Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join our team and help shape the future of the mobile app ecosystem. If this role sounds interesting to you, we would love to hear from you! Location: The preferred location for this role is within the Pacific Standard Time Zone; however, the role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: SF Bay Area, NYC, Los Angeles/Orange County: $165,000 - $205,000 Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $151,000 - $188,000 All other cities and towns in our approved states: $141,000 - $176,000 Canada: 135,000 - 160,000 CAD #LI-VM1 #LI-REMOTE Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and operate high-throughput, low-latency ad serving infrastructure with GPU-powered inference and machine learning integration. | Requires strong CS fundamentals, 10+ years experience, and M.S. or higher in CS or equivalent experience. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and operate high-throughput, low-latency ad serving infrastructure with machine learning integration. | Requires 10+ years experience, strong CS fundamentals, and preferably an MS in CS or equivalent experience. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design, build, and operate high-throughput, low-latency ad serving infrastructure with GPU-powered inference services and performance optimization. | Requires strong computer science fundamentals, 10+ years experience, and an MS or higher in CS or equivalent experience, with Go experience a plus. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and operate high-throughput, low-latency ad serving infrastructure with GPU-powered inference and machine learning model integration. | Requires 10+ years experience, MS or higher in CS, strong computer science fundamentals, and preferably Go experience. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and operate high-throughput, low-latency ad serving infrastructure with GPU-powered inference and collaboration with ML engineers. | Requires strong CS fundamentals, 10+ years experience, MS or higher in CS, and experience with Go is a plus. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design, build, and operate high-throughput, low-latency ad serving infrastructure with GPU-powered inference and performance optimization. | Requires 10+ years experience, strong CS fundamentals, M.S. or higher in CS or equivalent experience, and Go experience is a plus. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and operate high-throughput, low-latency ad serving infrastructure with machine learning integration. | Requires 10+ years experience, strong CS fundamentals, and preferably an advanced CS degree. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff's solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we're solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over 12 million requests per second and interacting with over 5 billion unique users each day. The Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff's product line. As an engineer on Liftoff's Accelerate Serving team, you will: • Design, build, and operate the high-throughput, low-latency services that receive bid requests, execute Liftoff's bidding logic, and respond to ad exchanges in real time. • Improve the performance, scalability, and reliability of systems that process millions of requests per second under strict latency constraints. • Develop and optimize GPU-powered inference services that execute neural network models using TensorRT. • Profile end-to-end inference pipelines to identify and eliminate bottlenecks in GPU utilization, batching, memory access, serialization, networking, and request handling. • Partner with machine learning engineers to productionize new model architectures and features, translating modeling requirements into efficient and reliable serving implementations. • Design and operate large feature store fleets that provide low-latency access to real-time and precomputed features. • Develop benchmarking and performance-analysis tools that help engineers compare models, understand latency and throughput trade-offs, and identify regressions before deployment. • Improve experimentation tooling that allows machine learning teams to orchestrate offline training runs, evaluate candidate models, and maintain model leaderboards. • Own changes through their full lifecycle-from system design and implementation to testing, deployment, observability, capacity planning, incident response, and continued optimization. Requirements: • Strong core Computer Science fundamentals (data structures, algorithms, system architecture) • 10+ years of industry experience • M.S.. or higher in Computer Science (or equivalent work experience) • Experience with Go is a plus Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: • SF Bay Area, NYC, Los Angeles/Orange County: $255,000 - $310,000 • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $234,000 - $285,000 • All other cities and towns in our approved states: $219,000 - $266,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We're shaping the future of the mobile app ecosystem-join us and help accelerate what's next. Liftoff's compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Build and maintain mission-critical ad-serving infrastructure processing millions of requests per second. | At least 4 years software engineering experience with strong CS fundamentals and distributed systems experience, plus a bachelor's degree or equivalent. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. At Liftoff, we’re solving one of the core problems faced by every mobile app: growth. To do so, we build Machine Learning and Big Data-driven technology that can accurately predict which apps a user will like, and connect them in a compelling way. Our systems operate at a scale unseen outside of the largest Internet companies -- processing over million requests per second and interacting with over billion users. The Ad Serving team builds and maintains the mission-critical infrastructure responsible for serving ads across Liftoff’s product line. As a Software Engineer on the Serving team at Liftoff, you will: Ship code multiple times a day, and within seconds see its quantified impact on millions of users and our business's revenue. Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review. Become an expert in Go, and the many other cutting-edge open source technologies that maximize our development velocity. Join a nimble, consistently excellent, and experienced engineering team (former Google/LI/Ooyala/etc). Desired qualities and experiences: Very strong coding ability. Solid core CS fundamentals (data structures, algorithms, architecting systems). An incredible desire for quality and perfection, and the ability to temper it when necessary to ship. Sets ego aside in pursuit of finding the best solution, no matter where it comes from. Self-motivated and a great ability to hustle. Excited to work on large scale data stores and distributed systems. B.S. or higher in Computer Science (or equivalent work experience). 4+ years software engineering experience. Experience building large distributed systems or backend architectures. A healthy sense of fun! Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role: SF Bay Area, NYC, Los Angeles/Orange County: $165,000 - $205,000 Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $151,000 - $188,000 All other cities and towns in our approved states: $141,000 - $176,000 #LI-EL1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design and build end-to-end generative AI products and integrate AI agents into workflows with performance instrumentation. | Minimum 8 years software engineering experience with Python, TypeScript, React, proven LLM product shipping, and ability to solve complex technical problems. | Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Join Liftoff as a Senior Gen AI Software Engineer and help shape the future of ad tech. As a key member of our Gen AI team, you’ll design and build AI-powered products for our demand-side business, helping teams turn complex data into better decisions and meaningful customer growth. You’ll work across the stack, building intelligent systems and data pipelines in Python, alongside the TypeScript and React experiences that bring those capabilities to users. You’ll partner closely with product, engineering, and customer-facing teams to identify high-impact opportunities, move quickly from prototype to production, and continuously improve what you ship. This is a hands-on role for an engineer who enjoys working at the intersection of AI, product, and software engineering. You’ll help define how Liftoff applies modern AI to real business problems, balancing experimentation with the judgment and engineering discipline needed to build useful, reliable products. This role is ideal for an engineer who thrives in ambiguity, enjoys experimenting with new technology, and is motivated by turning promising AI capabilities into products that create real value. You’ll tackle complex problems, validate new approaches, and drive meaningful improvements across Liftoff. WHAT YOU'LL DO Own generative AI product capabilities end to end, from understanding user workflows and prototyping an approach through implementation, rollout, measurement, and ongoing improvement. Rapidly prototype and validate AI solutions, using focused experiments to test user value and technical feasibility, then turn what works into production-ready capabilities. Build agentic workflows that can reason over campaign, customer, creative, and performance data, use well-defined tools, produce structured results, and hand control back to a person when appropriate. Partner closely with decision makers and subject matter experts to understand their workflows, constraints, and business context, then integrate AI agents into daily work in practical and useful ways. Design how AI systems access and use relevant information, including the data, tools, and instructions needed to produce useful grounded results. Build the systems that make AI workflows reliable in production, including tool use, state management, failure recovery, and appropriate boundaries for human review. Define clear, testable interfaces between models and software so uncertain model behavior can be handled safely within dependable product systems. Develop evaluation systems that measure whether AI features accomplish the intended task, using realistic examples and an appropriate combination of automated checks and human judgment. Build the instrumentation needed to understand quality, adoption, business impact, latency, cost, and failure modes in production. Apply appropriate safeguards for customer data, system access, and high-impact workflows. Build the Python services and TypeScript and React interfaces that turn these capabilities into cohesive products for customer facing teams. Evaluate new models and techniques pragmatically, adopting them when they materially improve product quality, capability, speed, or cost. Mentor other engineers and help establish shared practices for designing, testing, and operating AI-powered products. WHO YOU ARE Minimum Bachelors Degree and 8 yrs of relevant experience. You are a seasoned software engineer who has built and operated meaningful production products, ideally including zero-to-one work spanning backend services, data, and user interfaces. You have shipped LLM-powered or AI-assisted products beyond a demo and understand the practical challenges of reliability, context, tool use, provider changes, latency, cost, and changing model behavior. You are highly proficient in Python and comfortable working in TypeScript and React, with strong fundamentals in API design, data modeling, SQL, and testing. You understand how to build the broader system around a model, including its data, tools, instructions, permissions, feedback loops, and measures of quality. You can define success criteria, investigate failures, and use testing, feedback, and production signals to improve AI experiences over time. You exercise strong product and engineering judgment, choosing when a problem calls for traditional software, an LLM-powered approach, or a thoughtful combination of both. You communicate complex technical ideas clearly and collaborate effectively with domain experts and non-technical partners. You are comfortable working through ambiguity, making informed decisions with incomplete information, and changing direction when evidence shows a better path. You are a lifelong learner with strong but flexible opinions, and you thrive on giving and receiving constructive feedback. Helpful, but not required Experience as an early engineer, startup founder, or in a similarly high-ownership environment where you moved quickly from ambiguous problems to shipped products. Experience with advertising technology, campaign optimization, performance marketing, analytics products, or other data-rich B2B software. Location: The preferred location for the role is in Pacific Standard Time Zone. This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for multiple levels: SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $230,000 - $270,000 All other cities and towns in our approved states: $211,000 - $248,000 #LI-VM1 Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. Agency and Third Party Recruiter Notice: Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Design, implement, and optimize partner integration solutions in a fast-evolving mobile ecosystem. | 5+ years experience, proficiency in programming languages including JavaScript, strong SQL skills, and excellent communication. | About the Team: At Liftoff, we believe great customer outcomes require both technical depth and genuine empathy for each partner's unique challenges. As our platform scales globally, we're looking for people who can turn complex systems into practical, working solutions. As a Software Engineer in Partner Engineering, you'll play a pivotal role in shaping technical solutions that directly impact our top-tier partners. You'll collaborate with internal and external stakeholders, bridging gaps between engineering, product, and partner teams. This is a hands-on role where you'll design, implement, and optimize solutions that help our partners succeed in a fast-evolving mobile ecosystem. Responsibilities: • Build deep technical expertise in Liftoff products to maximize customer impact. • Drive successful client outcomes by translating complex business requirements into high-impact, scalable technical solutions. • Own the end-to-end technical lifecycle for partner integrations, ensuring seamless launches from initial onboarding through steady-state maintenance. • Innovate by refining Liftoff's tools and products based on direct customer and partner feedback. • Identify, troubleshoot, and resolve reported issues, implementing automated solutions to prevent recurrence. • Collaborate across teams to ensure seamless and consistent partner experiences. • Foster engineering excellence through design, risk-driven testing, and code review. Requirements • 5+ years of related experience; adtech industry experience a plus • Bachelor's Degree; Computer Science, Data/ Analytics a plus • Proficiency in at least one programming language like Golang, Python, JavaScript, or Java. • Strong SQL and big data analysis skills. • Customer empathy and a passion for problem-solving. • Strong analytical, problem-solving, and troubleshooting abilities. • Clear communication skills with a customer-focused mindset. • Self-motivated, proactive, and collaborative spirit. • A sense of curiosity and fun-you enjoy tackling challenges with enthusiasm! Why You'll Love Working Here • Work on impactful projects in the dynamic and fast-growing mobile ad tech space. • Join a team that values collaboration, innovation, and excellence. • Enjoy flexible work options suited to your lifestyle. • Be part of a company committed to diversity, inclusion, and personal growth. Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on candidate location and experience. The following are our base salary ranges for multiple levels: • SF Bay Area, NYC, Los Angeles/Orange County, Seattle: $165,000 - $205,000 • All other CA cities, Portland, all other WA cities, Denver, Austin, Boston: $151,000 - $188,000 • All other cities and towns in our approved states: $141,000 - $176,000 #LI-CM1

Design, implement, and optimize partner integration solutions ensuring seamless onboarding and maintenance. | 5+ years experience, proficiency in programming languages like JavaScript, strong SQL skills, and excellent communication and problem-solving abilities. | About the Team: At Liftoff, we believe great customer outcomes require both technical depth and genuine empathy for each partner's unique challenges. As our platform scales globally, we're looking for people who can turn complex systems into practical, working solutions. As a Software Engineer in Partner Engineering, you'll play a pivotal role in shaping technical solutions that directly impact our top-tier partners. You'll collaborate with internal and external stakeholders, bridging gaps between engineering, product, and partner teams. This is a hands-on role where you'll design, implement, and optimize solutions that help our partners succeed in a fast-evolving mobile ecosystem. Responsibilities: • Build deep technical expertise in Liftoff products to maximize customer impact. • Drive successful client outcomes by translating complex business requirements into high-impact, scalable technical solutions. • Own the end-to-end technical lifecycle for partner integrations, ensuring seamless launches from initial onboarding through steady-state maintenance. • Innovate by refining Liftoff's tools and products based on direct customer and partner feedback. • Identify, troubleshoot, and resolve reported issues, implementing automated solutions to prevent recurrence. • Collaborate across teams to ensure seamless and consistent partner experiences. • Foster engineering excellence through design, risk-driven testing, and code review. Requirements • 5+ years of related experience; adtech industry experience a plus • Bachelor's Degree; Computer Science, Data/ Analytics a plus • Proficiency in at least one programming language like Golang, Python, JavaScript, or Java. • Strong SQL and big data analysis skills. • Customer empathy and a passion for problem-solving. • Strong analytical, problem-solving, and troubleshooting abilities. • Clear communication skills with a customer-focused mindset. • Self-motivated, proactive, and collaborative spirit. • A sense of curiosity and fun-you enjoy tackling challenges with enthusiasm! Why You'll Love Working Here • Work on impactful projects in the dynamic and fast-growing mobile ad tech space. • Join a team that values collaboration, innovation, and excellence. • Enjoy flexible work options suited to your lifestyle. • Be part of a company committed to diversity, inclusion, and personal growth. Location: This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City. Travel Expectations: We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building. Compensation: Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on candidate location and experience. The following are our base salary ranges for multiple levels: • SF Bay Area, NYC, Los Angeles/Orange County, Seattle: $165,000 - $205,000 • All other CA cities, Portland, all other WA cities, Denver, Austin, Boston: $151,000 - $188,000 • All other cities and towns in our approved states: $141,000 - $176,000 #LI-CM1