Engineering Effectiveness Manager Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Privacy and Civil Liberties (PCL) Engineering team is a interdisciplinary team of software engineers, forward-deployed engineers, designers, lawyers, and policy experts. The first of its kind in the tech industry, Palantir’s PCL team was formed 15+ years ago as a rejection of the prevailing view that privacy protections must be sacrificed to national security interest. Today, the mission of the PCL team goes far beyond civil liberties protections, and our work challenges other false tradeoffs between operational effectiveness and the defining values of our society: Effective military operations should not be at odds with protecting civilians and upholding the Law of Armed Conflict. Deploying AI with scale and speed should never compromise safety, reliability, and governance. The PCL team builds software and forward deploys to ensure that our customers can pursue their hardest operational challenges while keeping ethical imperatives in plain sight. You can read more about the team on the Palantir blog here. As a PCL Engineer, you will be responsible for designing and developing full-stack software products for privacy, data protection, AI governance, and accountability in Palantir’s software platforms. You may build security and governance primitives in our platform, applications for auditors, user-facing workflows for AI governance, internal tools for data protection, or something new all-together to help our customers address their next set of challenges. In every case, the software that you build will directly help our customers both carry out their missions more effectively and better meet their legal and ethical obligations. As part of this role, y

Senior Security Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Lead advanced security engineering initiatives that safeguard the future of digital finance The Role As a Senior Security Engineer at Capco, you’ll lead the design and implementation of secure systems and processes across cloud and on-premise platforms. You’ll collaborate closely with engineering and client teams to embed security-by-design principles throughout the SDLC, integrate automated security tooling, and ensure resilience against evolving cyber threats. You’ll also use approved AI tools and AI-enabled workflows where appropriate to improve the speed, quality and effectiveness of security engineering, while maintaining human judgement, responsible AI guardrails and appropriate review and escalation. What You’ll Do Design and implement enterprise-wide security controls and frameworks, using approved AI and automation where appropriate to improve security outcomes Embed security controls into CI/CD pipelines (SAST, SCA, DAST, container scanning) and enable secure SDLC practices Collaborate across teams to champion secure development practices and responsible use of AI-enabled security workflows Lead vulnerability assessments, code reviews and security audits across infrastructure and applications, maintaining appropriate human review, audit trails and escalation pathways Develop and evolve security standards, engineering patterns and data protection strategies What We’re Looking For Strong hands-on experience with Palo Alto, Microsoft or similar security ecosystems Deep understanding of cloud security for AWS, Azure or GCP platforms Proven expertise in secure coding, endpoint protection, SIEM and IAM Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation and to

Principal Security Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Lead advanced security engineering initiatives that safeguard the future of digital finance The Role As a Principal Security Engineer at Capco, you’ll lead the design and implementation of secure systems and processes across cloud and on-premise platforms. You’ll collaborate closely with engineering and client teams to embed security-by-design principles throughout the SDLC, integrate automated security tooling, and ensure resilience against evolving cyber threats. You’ll also use approved AI tools and AI-enabled workflows where appropriate to improve the speed, quality and effectiveness of security engineering, while maintaining human judgement, responsible AI guardrails and appropriate review and escalation. What You’ll Do Design and implement enterprise-wide security controls and frameworks, using approved AI and automation where appropriate to improve security outcomes Embed security controls into CI/CD pipelines (SAST, SCA, DAST, container scanning) and enable secure SDLC practices Collaborate across teams to champion secure development practices and responsible use of AI-enabled security workflows Lead vulnerability assessments, code reviews and security audits across infrastructure and applications, maintaining appropriate human review, audit trails and escalation pathways Develop and evolve security standards, engineering patterns and data protection strategies What We’re Looking For Strong hands-on experience with Palo Alto, Microsoft or similar security ecosystems Deep understanding of cloud security for AWS, Azure or GCP platforms Proven expertise in secure coding, endpoint protection, SIEM and IAM Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation

We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI. The scope spans across the stack including tooling, frameworks, and infrastructure to provide full leverage in the developer experience for every software developer at Asana. Some of the teams’ current work include building out our internal agentic harness, setting up our online/offline developer evals, and increasing the effectiveness of our automated validation loop. The importance and scope of this work has grown significantly in the last year, and we need someone operating at the group level to help sequence and execute it. This role can be based in our New York or San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive critical developer productivity and AI developer tooling projects that impact 500+ developers at Asana Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams, all focused towards improving velocity for Asana engineers Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops and uplevel how every Asana engineer ships Own key outcomes like extending the internal tooling engineers use to delegate work to agents across harnesses Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the rest of the Engineering organization Act as a resource for team-level tech leads on topics like longer-term technical planning, design &amp

We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI. The scope spans across the stack including tooling, frameworks, and infrastructure to provide full leverage in the developer experience for every software developer at Asana. Some of the teams’ current work include building out our internal agentic harness, setting up our online/offline developer evals, and increasing the effectiveness of our automated validation loop. The importance and scope of this work has grown significantly in the last year, and we need someone operating at the group level to help sequence and execute it. This role can be based in our New York or San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive critical developer productivity and AI developer tooling projects that impact 500+ developers at Asana Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams, all focused towards improving velocity for Asana engineers Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops and uplevel how every Asana engineer ships Own key outcomes like extending the internal tooling engineers use to delegate work to agents across harnesses Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the rest of the Engineering organization Act as a resource for team-level tech leads on topics like longer-term technical planning, design &amp

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You'll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You'll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. What You'll Work On: Detection Engineering Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents Improve visibility across cloud infrastructure, containers, identity system

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is seeking an Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond — and you'll work closely with AI an

The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliability, and raising the bar for developer experience across Amplitude’s mobile ecosystem. As a Staff Software Engineer, you will: Lead the technical direction, architecture, and long-term evolution of Amplitude’s iOS SDK platform. Own and drive development of core iOS SDKs, including Analytics and Session Replay, with a strong focus on performance, reliability, and ease of use. Act as the iOS platform expert and trusted partner for other SDK teams (Experiment, Guides, Surveys), enabling them to build on shared foundations safely and efficiently. Design and evolve shared infrastructure, APIs, and abstractions that scale across multiple iOS SDKs. Collaborate closely with Product, and Customer Support to ensure SDKs meet real customer needs. Lead cross-team technical discussions, reviews, and architectural decisions that span multiple SDKs. Improve developer experience through better APIs, documentation, tooling, testing strategies, and sample apps. Mentor senior and mid-level engineers, raising the overall quality and effectiveness of the team. You'll be a great addition to the team if you have: A strong focus on develop

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond — and you'll work closely with

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata, at the vanguard of compliance software innovation and renowned for its commitment to trust and security across the internet, is on an ambitious path to redefine how AI and General AI technologies bolster compliance automation. Drata is seeking an Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous research, experimentation, and evalu

About Us: Future is building a personalized guidance system for lifelong health. We help people understand what to do next for their body, goals, and stage of life — then support them in turning those decisions into sustained behavior change. By combining AI, human expertise, personal health data, and accountability, Future helps members improve performance today while building the resilience, capacity, and healthspan they need for decades to come. About the Role We're looking for an Applied AI Engineer to help us build and ship AI-powered features that directly improve our product experience and business outcomes. This is a hands-on, product-focused role where you'll take ideas from concept to production — designing intelligent systems, validating them with real users, and turning them into reliable, scalable services. You'll work at the intersection of AI, product, and engineering — partnering closely with cross-functional teams to identify high-impact opportunities, prototype quickly, and iterate based on data. This isn't a research-only role. You'll own the full lifecycle: experimentation, evaluation, deployment, monitoring, and continuous improvement. The ideal candidate is excited about applying LLMs and modern ML tooling to real-world problems. You think in terms of systems, tradeoffs, and outcomes — not just models. You care about performance, quality, latency, and cost in production. Most importantly, you're motivated by shipping impactful AI experiences that customers actually use. What You'll Do Build and ship AI agents that serve real users: tool-calling LLM systems with structured output, parallel API orchestration, and streaming responses. Design evaluation harnesses and quality scoring — we use Langfuse, rubrics to measure safety, effectiveness, and personalization. Own the full loop: prototype a new agent capability, validate it with evals, deploy it to staging and production, monitor traces, and iterate. Improve reliability, latency, and cost throug

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: Partner with public sector clients to deeply understand their challenges and define AI-driven solutions Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models Participate in customer engagements, including occasional travel (approximately two weeks per quarter) Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience) 7+ years of post-graduation engineering experienc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities: Engage HVM and TD and lead worldwide alignment efforts across technology to improve process effectiveness. Promote worldwide BKMs sharing and transfer of area-specific domain knowledge. Provide technical and hands-on support to HVM sites to create/identify and deploy best solutions in Safety, Productivity, Cost of ownership, Process efficiency, Quality defense line and Yield improvement initiatives. Partner with suppliers to develop the process and equipment roadmap to meet Micron’s technology roadmap. Prioritize and lead multiple projects based on Fab and corporate objectives. Communicate and respond to issues in a timely manner, with a cadence appropriate to the priority of the issue. Keep collaborators and team members informed of project status, progress, and roadblocks/opportunities. Requirements: Bachelor’s degree in engineering. Min. 5 years of experience working as a CMP Process/Equipment Senior Engineer. Strong people and collaboration skills to lead globally sites on BKM alignments. Self-motivated: Able to work independently with minimal supervision. Dependability and able to work effectively in cross-functional teams. Good organization skills and able to plan and prioritize. Excellent verbal, listening and written communications skills. Strong attention to details. The ability to interface with suppliers professionally. Willin

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Operation Central Team (OCT) team member, you will be responsible for leading and collaborate with multi-functional teams, leveraging global internal and external resources to develop BKMs and driving improvements in CMP. As a process/equipment expert in CMP Process, create innovative process and equipment solutions aligning to and executing global business strategy as well as delivering continuous improvements to meet Cost/Scale/Quality/Yield goals. This position requires interfacing with High-Volume manufacturing sites, Technology Development, Global Procurement as well as interaction with equipment and materials suppliers to drive area manufacturing issue forward and establish area improvement roadmaps. You must be willing and capable of effective collaboration with High Volume Manufacturing (HVM) sites, Technology Development (TD), Procurement, Quality Engineering, other OCT departments, and external suppliers to accomplish your objectives. Responsibilities: Engage HVM and TD and lead worldwide alignment efforts across technology to improve process effectiveness. Promote worldwide BKMs sharing and transfer of area-specific domain knowledge. Provide technical and hands-on support to HVM sites to create/identify and deploy best solutions in Safety, Productivity, Cost of ownership, Process efficiency, Quality defense line and Yield improvement initiatives. Partner with suppliers to develop the process and equipment roadmap to me

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary As an Operations Central Team (OCT) Contamination Control Engineer, you will lead global contamination control initiatives that enable world-class manufacturing performance and support Micron's commitment to quality and reliability. You will develop and implement contamination control strategies, standardize procedures across sites, and drive improvements that reduce risk, improve yield, and support capacity expansion. This role offers the opportunity to influence manufacturing performance across Micron's global network while demonstrating data analytics, automation, and Artificial Intelligence (AI) tools to accelerate problem-solving and improve operational effectiveness. Responsibilities Lead global contamination control strategies and programs to improve manufacturing performance, reduce contamination risks, and achieve world-class quality outcomes. Partner with Manufacturing, QRA, Process Engineering, Equipment Engineering, and other partners to identify, investigate, and resolve contamination-related issues affecting yield, reliability, and product quality. Establish, standardize, and communicate contamination control metrics, indicators, standards, and governance frameworks across global manufacturing sites. Drive contamination control strategies that enable capacity expansion, throughput improvements, and manufacturing efficiency while maintaining quality and reliability standards. Develop and implement contamination prevention and monitoring programs for airborne