Director, Machine Learning - Search & Recommendation

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Engineering Manager role leading the Evaluation & Annotation team within an AI platform, focused on AI model evaluation, human annotation tooling, and synthetic dataset standards. The position combines technical leadership with hands-on engineering to build scalable AI infrastructure for training and inference. You will define technical roadmap, scale the team, and collaborate across AI, data, and infrastructure teams. 🗂️ Requirements: Experience leading software engineering teams, Strong backend engineering experience, Strong data engineering experience, Infrastructure engineering experience, Experience with AI model evaluation workflows, Experience designing data pipelines and storage systems, Hands-on coding and conducting code reviews, Ability to use and validate AI coding tools in development workflows 📃 Skills: AI, LLM, Backend, Data, Infrastructure, Evaluation, Annotation, Pipelines, Storage, Python, Git 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Manage and grow the Evaluation & Annotation team, directly managing 6-8 engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage and data pipelines to our needs Create a strong team culture aligned with our engineering standards and our customer focus Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: A Software Engineer at heart with a previous experience leading software engineering teams, as a tech lead or people manager Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams Interested in working on an early stage project with many challenges to solve and a fast iteration cycle You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Engineering leadership role responsible for building and operating core APM retrieval services powering traces and spans search, while defining the technical direction of an AI-enabled APM MCP toolset. The position focuses on scalable distributed systems, APIs, and reliable service operations that expose APM intelligence across UI, CLI, and emerging AI-driven interfaces. It combines hands-on technical leadership with ownership of performance, reliability, and cross-platform integration. 🗂️ Requirements: Experience managing backend or platform engineering teams, Strong expertise in distributed systems architecture, Proven experience designing and operating scalable APIs, Experience with observability platforms and APM systems, Ownership of production reliability and service operations, Ability to define technical direction in AI-driven environments, Experience driving cross-team technical alignment, Eligibility for required US export authorizations 📃 Skills: DistributedSystems, APIs, Observability, APM, Tracing, Spans, Metrics, Microservices, Reliability, DevOps, Telemetry, AI, CLI, Storage, Backend, Platform 🏢 Description: The APM Retrieval team is a strategic platform team shaping how APM data is queried, surfaced, and used in the age of AI. This engineering leader will guide a team responsible for the query path for traces and spans search that powers the Datadog UI, while also leading the evolution of the APM MCP Toolset that enables agentic workflows with access to APM telemetry and intelligence, including metrics, spans, traces, service health, and related capabilities. This role offers the opportunity to lead a future-facing API platform at the intersection of distributed systems, developer experience, and AI-powered product development. The person in this role will help define how Datadog exposes APM intelligence across MCP tools, skills, CLI interfaces, and other emerging surfaces as the ecosystem evolves. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and develop a team building and operating core APM retrieval services that power traces and spans search in the Datadog UI Define technical direction and execution priorities for the APM MCP Toolset and related interfaces that support internal and external agentic workflows Drive cross-functional alignment with platform, storage, frontend, and AI-focused teams to prioritize high-impact platform capabilities Establish and measure success through operational and product KPIs such as token efficiency, discoverability, usage, performance, and downstream task outcomes Own the reliability, deployment, and operational excellence of critical APM services, including services running in ITAR-compliant environments Mentor engineers through hands-on technical leadership, clear accountability, and a strong culture of execution, learning, and continuous improvement Who You Are: You have experience managing engineering teams building backend or platform systems at scale You bring strong technical depth in distributed systems, APIs, service operations, and production reliability You have experience working with observability platforms and operating services with clear availability, performance, and quality goals You are comfortable leading in fast-evolving technical spaces and can translate emerging AI or platform trends into pragmatic team direction You have a track record of driving cross-team prioritization across multiple stakeholders and downstream consumers You are an inclusive people leader who supports engineer growth across experience levels through coaching, feedback, and high standards Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Full-time Engineering Team Lead role focused on leading and contributing hands-on to the development of onboarding and engagement features within a trading platform, with strong emphasis on React/React Native, production reliability, and AI-assisted development. The position combines technical leadership, end-to-end feature delivery, and ownership of performance and quality in a customer-facing fintech environment. Hybrid work model with on-call responsibilities. 🗂️ Requirements: Extensive software engineering experience with proven technical delivery, Strong Frontend expertise in React and React Native, Experience building and operating production systems, Experience with AI-assisted development tools, Ability to lead and mentor engineers, Commitment to TDD, code reviews and testing practices, Willingness to participate in on-call rotation, Strong English communication skills 📃 Skills: React, ReactNative, JavaScript, TypeScript, TDD, AI, Git, CI/CD, Testing, Observability 🏢 Description: Job Description Minimum compensation: starting from 26 750 PLN. The final offer will be determined based on the candidate's experience and competencies. So, who are we? Hello, we're IG Group. We are a FTSE100 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your team The Lifecycle team is a product-aligned, customer-first engineering team owning onboarding, activation, and engagement experiences across IG's platform. We build and support the critical first-mile customer journey and ongoing engagement features - with an obsessive focus on reducing friction, improving conversion, and driving engineering excellence to ensure our systems are reliable, performant, and easy to change. Your role in the Team's Success Your primary responsibility will be to lead a small, high-performing engineering team – combining hands-on technical excellence with day-to-day leadership. You'll set technical direction for your domain, drive delivery of business-critical features, and ensure your team operates with an ownership mindset. You'll work as a hands-on practitioner who leads by example, spending significant time writing code while coaching others to grow into independent, self-sufficient engineers. You'll leverage AI-assisted development tools as a core part of your workflow — we expect engineering leaders to actively embrace AI to multiply their team's impact. Think and act like an owner – your leadership directly impacts our customers’ ability to achieve their financial goals. What you'll do Lead end-to-end delivery of features within your domain – from technical design through to production – taking accountability for performance, reliability, and business outcomes Stay hands-on with code, demonstrating high-quality engineering that embodies what a world-class engineer should be – your team learns from your example Coach and develop team members to become independent, self-sufficient engineers – everyone on your team should aspire to grow and operate autonomously Drive technical excellence and raise the bar across your team – set and enforce high standards for code quality, testing, observability, and documentation Partner with Product, Design and stakeholders to translate business requirements into technical solutions that champion the client and deliver real commercial value one iteration at a time Identify and escalate risks early, remove delivery blockers, and ensure your team delivers at pace without compromising quality Think big – proactively identify opportunities to improve systems, reduce complexity, and challenge the status quo rather than just maintaining things as they are Leverage AI-assisted development tools to accelerate your team's delivery, improve code quality, and stay at the cutting edge of modern engineering practices You'll need to be willing to commit to an on-call support rota - on-call time is compensated (This is a Full Time employment contract, not B2B) What you'll need for this role For this role, we're looking for someone with: Extensive software engineering experience with a strong track record of technical delivery and informal leadership – you've been the go-to person others turn to for guidance Deep expertise in your core technology stack, particularly Front End expertise in React/React Native – you know when to use the right tool and how to make it sing Battle-tested experience building and operating production systems – you've been on-call when something breaks at night and lived to tell the tale Demonstrated ability to mentor and develop other engineers – you get genuine satisfaction from helping others grow Experience with AI-assisted development tools is expected – we're looking for technical leaders who see AI as a force multiplier, not a threat Whilst a Bachelor's degree in Computer Science, Engineering would be useful, we value real world practical experience. If you’re an excellent engineering leader then do apply! An ownership mindset that borders on obsessive – you treat every system with care and a focus on the best customer experience possible in terms of speed, reliability, intuitiveness and functionality, and you hold others to the same standard An AI-positive mindset – you see AI tools as amplifiers of engineering capability, not replacements, and you're excited to push the boundaries for you and your team of what's possible with AI-assisted development Strong commitment to engineering excellence: TDD, pairing, code reviews, and continuous improvement are how you operate, not boxes you tick Strong English-language communication skills and the ability to work effectively in globally distributed, cross-functional teams – you can explain complex technical concepts simply Keen interest in ongoing learning, both business and technical – you'll gain deep understanding of IG's trading products and financial markets, and share this knowledge with others Familiarity with financial services or trading platforms is highly desirable but not essential — curiosity and learning ability matter more Willingness to participate in on-call rotation — because you build it, you run it, you love it This is a hybrid position (3 days onsite, 2 days remote work) How we work We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction: Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here . The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Flexible working hours & hybrid working Home office equipment reimbursement Performance-related bonus Private medical cover for you and your family/partner (Medicover) Multikafeteria system (you can choose a multisport card, vouchers, etc.) Life insurance (Generali) Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture Career-focused technical and leadership training in-class and online, incl. unlimited access to the LinkedIn Learning platform Well-being events as well as Employee Assistance Programme Summer picnic, New Year party and other social events 3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work Learn more about the Perks here ! Join us for this exciting journey. Apply now!

🏢 Summary: Leadership role responsible for building and scaling a mixed-methods user research practice that integrates qualitative insights, quantitative data, and AI-driven synthesis to drive product strategy and measurable business impact. The position focuses on transforming complex technical signals into user-centered experiences and embedding research deeply into the product development lifecycle. The role also involves developing AI-enabled research workflows and enabling cross-functional teams with advanced research methodologies. 🗂️ Requirements: 10+ years in user research or product design, Experience building and managing research teams, Expertise in qualitative research methodologies, Expertise in quantitative research methodologies, Ability to analyze product telemetry and statistical data, Experience influencing product strategy through research, Experience linking research outcomes to business metrics, Understanding of modern software development and infrastructure, Experience using AI tools in research workflows 📃 Skills: QualitativeResearch, QuantitativeResearch, Telemetry, Statistics, AI, GPT, DataAnalysis, UXResearch, ProductAnalytics, Infrastructure 🏢 Description: Datadog is hiring a Research leader to define the next evolution of our research practice. You will lead a group that integrates human insights with quantitative depth and AI-driven synthesis to build the right products for our customers while driving measurable business impact. At Datadog, we help customers visualize and troubleshoot complex, distributed systems at scale and keep them healthy. As the Director of User Research, you will lead the charge in transforming dense technical signals into human-centric experiences by establishing a research culture that is fast, actionable, and deeply integrated into our product development lifecycle. In this role, you will build a lean, high-impact team of researchers while simultaneously empowering our entire design and product organization with the methods and tools needed to deeply understand customer pain points and motivations. You will be responsible for moving the team beyond tactical, project-level work toward strategic influence that drives measurable business outcomes. What you’ll do: Grow, manage and mentor a talented group of researchers to operate at the frontier of the field. Establish a Mixed-Methods Practice ensuring researchers can analyze product telemetry and statistical data ("the what") alongside qualitative insights ("the why"). Scale Research Capabilities by defining inquiry methods and teaching the broader organization (designers and PMs) how to use them to run deep, insight-driven probes. Take accountability for the business metrics influenced by research findings. You will be expected to demonstrate business impact through the work that you lead. Build the foundation for AI as a research collaborator, using tools like custom GPTs and synthetic personas to accelerate synthesis and provide real-time deliverables. Collaborate with the Head of Design, design and cross functional leaders to establish roadmaps and ensure research insights are grounded in both technical reality and user needs. Who You Are: 10-15+ years in user research or product design, with experience building and managing high-performing teams. Proficient in both qualitative and quantitative methodologies, with the ability to size and validate behavioral patterns using data. Proven track record of moving research beyond "usability testing" to impacting product direction and business metrics. Comfortable navigating the technical complexities of modern software development and infrastructure. Excited by the potential of AI to transform how research is conducted, synthesized, and shared. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$220,000—$320,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Data Scientist role focused on developing, deploying, and maintaining machine learning models and AI-driven software solutions for mission-critical environments using an AIOps platform. The position involves building and validating models across diverse data types and implementing scalable AI systems in cloud and edge environments. This is a hybrid role requiring collaboration with cross-functional engineering teams and support for secure, real-world deployments. 🗂️ Requirements: BS in Computer Science, Machine Learning, Mathematics, or related field, 2+ years of experience in data science or machine learning, Proficiency in machine learning applied to image and video data, Strong knowledge of data structures and algorithms, Proficiency in Python, Experience with TensorFlow, PyTorch, or scikit-learn, Experience with Git and Agile methodologies, Active Secret US security clearance, US citizenship 📃 Skills: Python, TensorFlow, PyTorch, scikit-learn, Git, Agile, Docker, Kubernetes, CI/CD, Go, Rust, C++, Java, REST, ETL, Cloud 🏢 Description: Build, Deploy, and Maintain AI for an Unpredictable World Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. The Role As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data Implementing AI-based software solutions for cloud and edge environments Conducting mission-critical fieldwork in support of customers and other stakeholders This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time. The Right Fit In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience Proficiency in machine learning and data science, and applying both to image and video data Proficiency in implementing and analyzing data structures and algorithms Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn Exposure to software development life cycle and tools (e.g., Git, Agile) Active Secret (or above) US security clearance Due to the nature of this role, candidates must have US citizenship The Wish List We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline Experience deploying machine learning and data science, and applying both to production environments Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers) Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals) Experience building AI agents and agentic workflows Experience implementing ETL pipelines, data pipelines, and/or workflow automation Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.) Experience building full-stack applications (i.e., back end, front end, REST) Experience delivering technology solutions in secure government environments Experience working with federal, state, and/or local government customers The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. The Benefits Medical/dental/vision insurance Voluntary life, long-term disability, accident, and hospital indemnity insurance HSA and FSA (including dependent care FSA) plans 401(k) plan Unlimited PTO Paid parental leave Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

🏢 Summary: Leadership role responsible for setting technical vision and delivering AI-powered products across the platform, from research and model development to production operations. The position oversees multiple teams building ML models, agentic systems, and conversational AI solutions at large scale. It combines hands-on AI expertise with organizational leadership to drive end-to-end AI strategy and operational excellence. 🗂️ Requirements: Strong background in AI, Machine Learning, or Data Science, Proven experience building and shipping ML or AI products in production, Experience leading multiple engineering and applied science teams, Deep expertise in LLMs, agentic systems, anomaly detection, time-series modeling, NLP, RAG, or ML infrastructure, Experience owning ML systems from data pipelines to deployment and operations, Ability to define technical strategy and partner with Product, BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: MachineLearning, DataScience, LLMs, NLP, RAG, AnomalyDetection, TimeSeries, MLInfrastructure, ConversationalAI, AgenticSystems, DataPipelines, ModelTraining, ModelDeployment, MLOps 🏢 Description: Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform Set technical vision and strategy for your area in partnership with Product Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality Hire and plan for organizational growth as the AI group scales Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Proven track record building and shipping ML or AI-powered products in production Experience leading and mentoring multiple teams, including senior engineers and engineering managers Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans A strong people manager who can attract, develop, and retain top AI and engineering talent BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Lead research and architecture design for next-generation AI systems, focusing on rack-scale co-design of AI workloads, memory, interconnects, and high-performance RISC-V CPUs. The role drives system-level modeling, simulation, and micro-architecture innovation to eliminate memory and bandwidth bottlenecks in large-scale AI platforms. It combines deep technical leadership with hands-on architecture research and cross-functional collaboration. 🗂️ Requirements: Ph.D. in Computer Science, Electrical Engineering, or related field, 10+ years in system-level architecture research or large-scale computing platform design, Expertise in AI workload-focused system architecture design, Strong experience in performance modeling and event-driven simulation, Deep knowledge of RISC-V, ARM, or x86 CPU architectures, Experience designing out-of-order CPU micro-architectures, Proficiency in transaction-level modeling (TLM), Experience with large-scale design-space exploration and PPA analysis, Hands-on programming experience in Python and C++, Ability to lead technical research teams and define architecture roadmaps 📃 Skills: RISC-V, ARM, x86, TLM, Python, C++, PPA, Simulation, Modeling, Microarchitecture 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.What You'll Do Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung's advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks. Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy AI System Architecture Leadership Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems). Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale. Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions. Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations. RISC‑V CPU Architecture Leadership Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems. Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis. Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution. Research & Innovation Management Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications. Present architectural insights and strategic recommendations to senior leadership and external partners. What You Bring Education: Ph.D. in Computer Science, Electrical Engineering, or a related field. Experience: 10+years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads. Technical Expertise: Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems. Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration. Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints. Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design. Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis. Expertise in architecture and micro‑architecture design of out‑of‑order CPUs. Hands‑on experience with simulation tools and programming languages such as Python and C++. Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. Preferred Experience Proven track record of publishing high‑impact research papers. Experience influencing product roadmaps through architectural recommendations. Strong collaborative history with cross‑functional teams (hardware, software, memory technology). You're inclusive, adapting your style to the situation and diverse global norms of our people. An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. You're collaborative, building relationships, humbly offering support and openly welcoming approaches. Innovative and creative, you proactively explore new ideas and adapt quickly to change #LI-SF1 What We OfferThe pay range below is for all roles at this level across all US locations and functions. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you.Base Pay Range$246,000—$430,000 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policyhttps://semiconductor.samsung.com/about-us/careers/us/privacy/

🏢 Summary: Engineering Manager role leading a team building LLM-powered natural language interfaces and conversational AI systems for querying telemetry data and configuring platforms. The position focuses on delivering high-quality NLQ, retrieval, and agentic AI capabilities, while driving evaluation, iteration, and operational excellence. It combines hands-on technical leadership with ownership of AI product delivery in a hybrid work environment. 🗂️ Requirements: Experience building and shipping LLM-powered products or conversational AI systems, Strong expertise in AI, Machine Learning, or NLP systems, Hands-on knowledge of LLMs, RAG, semantic search, or agentic systems, Experience designing evaluation pipelines for AI systems, Ability to balance accuracy, latency, cost, and safety in AI systems, Experience leading and mentoring engineers or applied scientists, Ability to collaborate with Product on ambiguous AI problems, Degree in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: Python, LLM, NLP, RAG, MachineLearning, DeepLearning, SemanticSearch, AgenticSystems, Evaluation 🏢 Description: Datadog's Applied AI group is building the AI capabilities that transform how users interact with our platform. Our Natural Language Query (NLQ) and Command-I (Cmd-I) teams are at the forefront of this transformation, enabling users to query telemetry data, investigate production issues, and configure Datadog through natural language and intelligent conversational agents. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists building natural language interfaces and conversational AI systems. Your teams will work on challenges spanning LLM-powered query translation, context-aware retrieval systems, agentic architectures, and evaluation frameworks. You will guide technical execution, support team growth, and collaborate across engineering, product, and research to deliver AI experiences that fundamentally change how customers use Datadog. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities Drive evaluation and iteration practices for AI systems, including building offline and online evaluation pipelines to measure quality and detect drift Partner with product managers and cross-functional teams to expand AI capabilities across the Datadog platform Navigate the unique challenges of shipping LLM-powered products: balancing accuracy, latency, cost, and safety considerations Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning Drive day-to-day execution and promote high standards for operational excellence, system reliability, and technical quality Participate in hiring and help shape the future team as the organization grows Contribute to cross-team collaboration and knowledge sharing across the broader AI organization Who You Are A technical leader with experience in AI, machine learning, or NLP systems Proven experience building and shipping LLM-powered products, conversational AI, or natural language interfaces A product builder who thinks beyond features, designing systems that generate data, learn from usage, and compound in value over time Experience leading and mentoring engineers; ready to grow into broader leadership responsibilities Strong technical expertise in one or more areas: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP Comfortable working with Product to break down ambiguous problems, foster an experimental culture and iterate quickly on AI systems where quality is probabilistic Familiarity with evaluation methodologies for AI systems, both offline benchmarks and online metrics A people-focused manager able to develop and support strong engineering talent in a fast-moving domain BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one — that's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture with the ability to join Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role managing a team of Solutions Engineers in a B2B SaaS analytics environment, driving technical pre-sales strategy and customer success. Combines people management, deep data analytics expertise, and cross-functional collaboration to support complex sales cycles and product adoption. Responsible for coaching the team, optimizing technical sales processes, and ensuring successful implementation of analytics solutions. 🗂️ Requirements: 3+ years managing technical pre-sales, solutions engineering, or professional services teams, Experience in B2B SaaS environment, Deep knowledge of data and analytics products implementation, Experience working on complex technical sales cycles, Ability to communicate complex technical concepts to technical and non-technical stakeholders, Experience collaborating with Sales, Product, and Engineering teams, Hands-on experience with product analytics or modern data stack tools 📃 Skills: SaaS, Analytics, CDP, Datawarehousing, Snowflake, BigQuery, Segment, Hightouch, Mixpanel, Amplitude, Pendo, Contentsquare 🏢 Description: About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.About the Role As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. Responsibilities Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance. Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line. Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes. Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale. Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity. Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture. Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success. We’re Looking For Someone Who Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team. Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers. Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue. Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals. Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams. Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities. Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team. Bonus Points Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy. Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch. #LI-HybridCompensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.Mixpanel Compensation Range$238,300—$321,705 USDBenefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.