External Affairs Lead

🏢 Summary: Role focused on improving AI model training by curating high-quality code examples, evaluating and refining AI-generated code, and ensuring enterprise-grade performance and reliability. Involves hands-on software engineering to optimize scalability, efficiency, and quality standards across AI-driven coding solutions. Position can be remote with flexible engagement depending on project needs. 🗂️ Requirements: Professional experience building scalable high-performance applications, Deep expertise in at least one programming language, Strong proficiency with frameworks and libraries, Solid understanding of software design principles, Experience with performance optimization, Experience implementing security standards, Experience implementing accessibility standards, Strong debugging and profiling skills, Hands-on experience with testing frameworks, Experience with containerization technologies, Knowledge of backend systems and APIs, Knowledge of databases and authentication mechanisms 📃 Skills: Programming, Frameworks, Libraries, Scalability, Performance, Security, Accessibility, Debugging, Profiling, Testing, Docker, Containerization, APIs, Databases, Authentication, Analytics, Monitoring, Design 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. BASIC QUALIFICATIONS: Professional software engineering experience building scalable, high-performance applications. Deep expertise in one or more programming languages. Strong proficiency in relevant frameworks and libraries. Solid understanding of software design principles, performance optimization, and best practices. Experience implementing quality standards, including accessibility, security, and reliability where applicable. Strong debugging and profiling skills using development tools and performance monitoring. Hands-on experience with testing frameworks and tools relevant to your domain. PREFERRED SKILLS AND EXPERIENCE: The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain. Experience with containerization technologies (e.g., Docker). Knowledge of complementary technologies (e.g., backend systems, APIs, databases, authentication) to enable effective cross-functional collaboration. LOCATION AND OTHER EXPECTATIONS: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $60/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Newly created US-focused Talent Partner role responsible for driving critical cross-functional hires and embedding AI-enabled recruiting processes to support rapid growth. The position partners closely with senior leadership, especially in New York and Washington, to shape hiring strategy, deliver key talent, and use data and market intelligence to inform decisions. Success is defined by the ability to operate at C-suite level, leverage AI tools, and build scalable, high-quality recruitment practices in fintech or Web3 environments. 🗂️ Requirements: Proven experience delivering critical US hires in fintech, Web3, SaaS, or digital assets, Experience partnering with C-suite or VP-level stakeholders, Hands-on experience using AI tools to improve recruiting workflows, Proficiency in Ashby and LinkedIn Recruiter, Experience with talent intelligence tools, Strong data literacy and ability to use recruiting metrics, Experience in cross-functional US hiring, Ability to manage complex stakeholder environments and senior engagement 📃 Skills: AI, Claude, Ashby, LinkedIn, SaaS, Web3, Fintech, Data, Automation, Workflows 🏢 Description: Do you want to be part of the future of value transfer? Are you excited about solving problems that have never been solved before? In this newly created role, you’ll be pivotal to shaping growth in The Americas by building world-class sales and marketing teams. The impact you will have: In this role you’ll be an outstanding cross-functional talent partner helping to build in the US. You’ll combine market knowledge and AI fluency to embed and run seamless processes at scale while creating compelling candidate experiences. Your success will be defined by your ability to manage a complex workload across diverse stakeholder groups while maintaining consistently high quality. What you will do: - Be a key business partner to global leaders, particularly supporting New York and Washington-based leadership across functions - Shape leadership experience, manage expectations, and own talent partnerships - Deliver key hires across New York, Washington, and other target hubs - Drive senior stakeholder engagement to ensure alignment and outcomes - Improve capability and assessment using tooling and technology as enablers - Use AI tools such as Claude to shape ways of working - Use data, pipeline metrics, and market intelligence to drive data-driven decisions What you will achieve in the first 6 months: - Establish yourself as a key talent business partner - Develop a clear view of the US talent landscape and advise stakeholders on hiring strategy - Embed AI in processes and systems to deliver efficiencies - Support the VP of Talent in key projects and planning - Deliver critical hires aligned to company goals - Identify tooling and sourcing methods to engage high-quality sales and marketing talent at scale You will be a great fit if you: - Have a strong track record of delivering critical US hires in fast-paced fintech, Web3, or SaaS organizations - Are genuinely curious about AI and how it can transform recruiting - Are comfortable advising C-suite stakeholders and representing Talent in leadership forums - Have experience delivering key talent projects and headcount planning - Thrive in ambiguous environments and act as a self-starter Our ideal candidate has: - Demonstrable expertise in cross-functional US hiring, ideally in digital assets, fintech, or crypto/Web3 - Experience partnering with C-suite or VP-level revenue leaders as a strategic talent advisor - Experience building workflows using AI tools such as Claude and experimenting with agentic tools - Deep proficiency in Ashby, LinkedIn Recruiter, and talent intelligence tools - Strong data literacy and ability to use metrics to drive decisions Bonus points for: - Experience as a people manager who chose to return to an individual contributor role - Experience hiring globally for hybrid roles in competitive markets - Experience running and presenting talent intelligence campaigns supporting footprint planning Benefits: How we work: - Hybrid working and the option to work from almost anywhere for up to 90 days per year - £500 remote working budget to set up your home office Learning & Development: - $1,000 learning and development budget Vacation / Leave: - 25 days of annual leave + 8 US public holidays - An extra day for your birthday - 16 weeks fully paid parental leave for eligible employees Benefits: - Comprehensive medical, dental, and vision coverage - 401k with company match - Full access to mental health support Compensation Range: $125K - $230K

🏢 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: 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: Senior-level Paid Search role leading enterprise strategy and execution across large-scale media investments, acting as a strategic partner to clients and overseeing complex campaign structures. The position combines hands-on platform management with team leadership, driving optimization, automation, and innovation across Google Ads, SA360, and Microsoft Ads. Offers a remote-first setup, competitive salary, performance bonus, and comprehensive benefits. 🗂️ Requirements: 6+ years managing enterprise-level paid search programs, Minimum 2 years of staff management experience, Experience managing large-scale paid search investments and complex account structures, Experience in SaaS, fintech, HR/payroll, SMB platform, or similar performance marketing environments, Deep expertise in Google Ads and Microsoft Ads, Experience with campaign architecture, automation, audience targeting, bidding frameworks, and feed management, Experience using GA4 and enterprise analytics platforms, Ability to manage multiple products, campaigns, and business objectives simultaneously 📃 Skills: GoogleAds, MicrosoftAds, SA360, GA4, Automation, AudienceTargeting, Bidding, FeedManagement, Analytics, Forecasting, Budgeting, Optimization 🏢 Description: The Role Benefits - Remote-first culture - Unlimited PTO - Extended Holiday break (Winter) - Flexible schedules - Work from anywhere options* - 100% paid parental leave - 401(k) matching - Medical, Dental, Vision, Life, Pet Insurance - Sponsored life insurance - Short Term Disability insurance and additional voluntary insurance - Annual Class Pass credits and more! Compensation The anticipated annual salary for this role will range from $110,000 - $150,000, based on consideration of a wide array of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package will include the benefits listed above and an annual performance bonus. This role has an associated annual target bonus component which is paid out based on Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible. *This position may be performed remotely in most states within the US, with some exclusions. You Will Be - Serving as a senior strategic partner and embedded extension of the client’s marketing organization, leading paid search strategy, performance management, and executive-level business planning across a $100M+ multi-product media investment - Operating as both a strategist and hands-on practitioner by driving campaign architecture, optimization, execution oversight, and innovation initiatives to ensure operational excellence and measurable business impact - Managing highly complex enterprise account structures across SA360, Google Ads, Microsoft Ads, and other relevant paid search platforms - Balancing multiple stakeholder groups, competing business priorities, and evolving growth objectives within a sophisticated enterprise ecosystem - Driving strategic planning, forecasting, budgeting, testing roadmaps, and performance optimization initiatives aligned to client growth goals and broader business objectives - Translating complex performance trends and business insights into clear, executive-level recommendations and action plans for senior client stakeholders - Partnering closely with Client Strategy, Analytics, Strategy, Creative, and channel leadership teams to ensure integrated marketing alignment and operational excellence - Identifying opportunities for innovation, growth, process improvement, and operational scalability across the engagement - Leading, developing, mentoring, and supporting a team of four Paid Search Specialists through coaching, career development, quality assurance, prioritization, and performance management - Providing strong oversight of campaign execution, QA processes, account health, and delivery standards to ensure flawless execution across the business - Driving innovation and thought leadership across enterprise paid search strategy, automation, audience targeting, measurement, and optimization initiatives - Managing and escalating critical client or account issues appropriately while maintaining strong trust and partnership with senior stakeholders - Staying at the forefront of emerging trends, platform changes, AI-driven search developments, and evolving enterprise paid media strategies You Must Have - 6+ years of experience managing enterprise-level paid search programs within agency and/or client-side environments - Minimum of 2 years prior staff management experience with demonstrated success in developing, mentoring, and leading high-performing team members - Proven success in managing large-scale paid search investments and highly complex account structures across enterprise organizations - Experience supporting sophisticated SaaS, fintech, HR/payroll, SMB platform, or similarly complex performance marketing businesses - Deep expertise across Google Ads, Microsoft Ads, campaign architecture, automation strategies, audience targeting, bidding frameworks, feed management, and enterprise-scale optimization - Strong analytical and problem-solving skills with experience leveraging performance data, GA4, and enterprise analytics platforms to drive strategic decision-making and optimization opportunities - Excellent oral, written, and interpersonal communication skills with the ability to build trust and influence across teams and stakeholders - Ability to operate effectively within fast-paced, highly visible enterprise environments while managing complex stakeholder relationships and competing business priorities - Experience leading large-scale paid search engagements across multiple products, campaigns, audiences, and business objectives simultaneously - Strong track record driving operational rigor, process improvement, and strategic recommendations through data-driven insights and executive-level client communication This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: The Associate Director of Brand & Experience Strategy leads lifecycle communications and student experience design for university partners, shaping cross-channel recruitment strategies and messaging frameworks. The role combines brand, content, and UX strategy with partner-facing discovery, journey mapping, and performance analysis. It requires strong strategic execution, cross-functional collaboration, and data-driven decision-making in higher education marketing. 🗂️ Requirements: 3+ years of experience in marketing strategy, brand strategy, content strategy, engagement communications, or related field, Working understanding of cross-channel lifecycle communications and student recruitment journey, Experience leading or contributing to partner-facing strategy sessions, workshops, or discovery engagements, Ability to design and map cross-channel lifecycle communications (email, text, chat), Experience translating journey insights into actionable briefs for implementation teams, Strong analytical skills and ability to connect performance data to strategy, Excellent written and verbal communication skills, English fluency, Must reside in the United States and be legally authorized to work, Reliable high-speed internet and availability during core business hours 📃 Skills: CRM, MarketingAutomation, SEO, UX, EmailMarketing, SMS, Analytics, JourneyMapping, ContentStrategy, BrandStrategy 🏢 Description: About the Role: The Associate Director of Brand and Experience Strategy shapes how university partners engage prospective students across the full recruitment lifecycle. This role works across brand and messaging strategy, lifecycle communications, content strategy, and student experience design, pairing deep partner knowledge and cross-functional fluency. As a strategist, you will act as a consultative partner to university partners and internal teams, developing breadth across practice areas while building deeper expertise in one or more over time. You will contribute to strategic frameworks, execute against them independently, and bring strategic thinking to partner-facing work. Strategic Practice & Framework Contribution - Contribute to strategic practice areas such as event strategy, lifecycle communications, content strategy framework, messaging architecture, or UX/student experience design - Support the development, documentation, and continuous improvement of shared frameworks - Partner with cross-functional teams and subject matter experts to apply shared frameworks effectively - Maintain awareness of cross-portfolio patterns and surface insights to senior strategists - Stay current on market trends, student behavior, and higher education recruitment best practices Partner Engagement & Discovery - Develop familiarity with assigned university partners, programs, competitive landscape, and student audiences - Serve as a consistent second voice in partner relationships, providing strategic and cross-portfolio perspective - Participate in discovery engagements for new program launches and portfolio expansions - Contribute to and support facilitation of strategy sessions and workshops - Develop and deliver presentations articulating strategy and recommended tactics Lifecycle Communications & Student Experience Design - Lead the design and mapping of cross-channel lifecycle communications, including automated email and text journeys, recruitment communication cadences, chat scripts, and toolkits - Oversee journey mapping processes across recruitment and retention lifecycle - Translate journey insights into actionable briefs for implementation teams - Contribute to brand strategy, messaging frameworks, and student experience design Measurement & Visibility - Contribute to reporting on strategy performance, including content effectiveness and communication metrics - Use data and analytical reasoning to identify gaps and recommend improvements - Partner with analytics, SEO, and implementation teams to align performance data with strategic decisions Team and Organizational Contribution - Support peers and cross-functional collaborators in executing shared frameworks - Contribute to cross-functional initiatives such as campaign measurement frameworks and technology rollouts - Ensure strategic intent is maintained from discovery through implementation You have: - 3+ years of experience in marketing strategy, brand strategy, content strategy, engagement communications, or related field; higher education experience preferred - Demonstrated ability to work across multiple practice areas with depth in at least one - Working understanding of cross-channel lifecycle communications and student recruitment journey - Experience contributing to partner-facing strategy sessions, workshops, or discovery engagements - Comfort working in a matrixed environment - Excellent written and verbal communication skills - Strong analytical and problem-solving skills - English fluency Bonus Points: - Experience in brand strategy, UX, content strategy, sales enablement, or SEO - Familiarity with higher education enrollment tools and CRM or marketing automation platforms - Experience with competitive landscape analysis or program positioning - Comfort navigating ambiguity in evolving team structures Role Requirements: - Must reside in the continental United States near a major airport - Reliable high-speed internet and quiet workspace - Availability during core business hours (9 a.m. to 5 p.m.) - Legal authorization to live and work in the United States Benefits: - Work from NYC office or home office - 401(k) with company match and equity opportunities - Medical, dental, and vision insurance - Employer-paid life and disability insurance - Health Savings Account (HSA) and Flexible Spending Accounts (FSA) - Paid parental leave - 4 weeks paid vacation plus holidays and sick leave - Monthly mobile connectivity stipend - Annual education stipend - Employee assistance and wellness programs

🏢 Summary: Remote-first Associate Director role focused on owning and expanding strategic enterprise partnerships within retail, eCommerce, and payments. The position drives GMV growth through data-driven account planning, BNPL integration, AI-powered insights, and executive-level stakeholder management. It combines commercial strategy, analytics, and cross-functional leadership to deliver measurable revenue and innovation outcomes. 🗂️ Requirements: 12+ years strategic account management experience, 7+ years in eCommerce, Enterprise-scale partnership management experience, Experience in fintech, payments, or eCommerce, Proven revenue growth and share-of-wallet expansion, Executive stakeholder management experience, Deep knowledge of BNPL and digital payments ecosystems, Experience with omnichannel commerce strategies, Data-driven account planning experience, Experience collaborating with Product, Data, Marketing, and Operations teams, Proficiency with Salesforce CRM, Experience with AI tools and predictive analytics platforms 📃 Skills: BNPL, eCommerce, Payments, Salesforce, CRM, AI, Analytics, PredictiveAnalytics, RetailTech, CheckoutOptimization, ConsumerFinancing, Forecasting, PipelineManagement 🏢 Description: Remote-first opportunity for U.S.-based employees, with the option to work in-person at our Manhattan office. About the Role As an Associate Director US, Enterprise Partnerships, you will own and expand some of Zip's most strategic Enterprise merchant relationships across the retail, eCommerce, and payments ecosystem. This role goes far beyond day-to-day management; you'll act as a strategic advisor, leveraging Zip's global BNPL platform, data insights, and marketing capabilities to drive measurable growth and innovation for enterprise merchants. You'll lead cross-functional initiatives spanning marketing, product, data, and operations to deliver solutions that improve conversion, unlock incremental revenue, and deepen customer engagement. This role requires a balance of commercial acumen, analytical insight, and relationship mastery, someone who can operate as both a trusted partner to C-suite stakeholders and an internal champion for merchant success. You'll Change the Game By: - Owning and expanding a portfolio of high-value enterprise partnerships, driving growth across GMV, profitability, transaction volume, and new user acquisition. - Developing strategic account plans for top merchants, grounded in data and market intelligence, with clear performance targets and co-marketing activations. - Partnering with client executives to shape omnichannel payment strategies, integrating Zip's BNPL capabilities across online, in-store, and mobile channels. - Leading joint business reviews (QBRs) and presenting actionable insights — highlighting performance metrics, benchmarking trends, and strategic recommendations that influence executive decision-making. - Driving cross-sell and up-sell motions across the merchant's organization by aligning Zip's expanding suite of solutions (BNPL, Pin8, marketing placements, and consumer insights) with evolving merchant needs. - Acting as the voice of the customer internally partnering with product, analytics, and marketing to identify feature opportunities, resolve friction points, and inform future innovation. - Collaborating with global teams to scale best practices across markets, ensuring consistency in execution and delivery excellence. - Managing long-term commercial renewals and contract negotiations to secure favorable, mutually beneficial terms. - Leveraging AI-powered insights and predictive analytics to identify growth opportunities, forecast merchant performance, and personalize partnership strategies that drive measurable GMV and adoption outcomes. What You'll Bring to the Team: - 12+ years of strategic account management experience, managing enterprise-scale partnerships, ideally within fintech, payments, or eCommerce. Of the 12 years, 7 focused in eCommerce. - Proven ability to deliver revenue growth, increase share of wallet, and influence executive stakeholders in a matrixed, global environment. - Deep understanding of BNPL, digital payments, and retail tech ecosystems, with fluency in merchant operations, checkout optimization, and consumer financing. - Demonstrated success in building and executing commercial strategies across omnichannel partners, including cross-sell and upsell plays. - Exceptional analytical, presentation, and storytelling skills, capable of distilling data into narratives that drive strategic decisions. - Experience building and executing data-driven account plans and marketing activations. - Experience collaborating with Product, Data, Marketing, and Ops to inform roadmaps and remove friction, acting as the voice of the partner inside the business. - Comfortable navigating CRM tools (Salesforce), forecasting, pipeline discipline, and deal documentation at an executive level. - Hands-on experience with AI tools or platforms to inform decision-making, automate insights, or personalize client engagement strategies. - Experience working in a high-growth, matrixed environment; able to scale what works and evolve what doesn't. - A collaborative, entrepreneurial mindset aligned with core values. - A strong understanding of AI tools and technologies, with the ability to effectively leverage AI in day-to-day workflows to drive efficiency, insights, and partner outcomes. What you'll get in return - Flexible working culture - Incentive programs - Unlimited Vacation - Generous paid parental leave - Leading family support policies - Company-sponsored 401k match - Learning and wellness subscription stipend - Beautiful Union Square office with a casual dress code - Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% covered choices available Compensation The annual base pay for this position is $131,000-$164,000 USD. In addition, you will be eligible for a 30% commission of equal value to the base pay range, making on-target earnings (OTE) a range of $170,300-$208,000 USD. This range reflects the US national compensation band. Additional premium percentages may apply based on tiered premium location-based strategy. Subject to the same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Equal Opportunity The workplace provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and more. Recruitment processes are accessible and inclusive, and adjustments can be made to ensure a fair and equitable experience.

🏢 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.