Technical Support Engineer 2, Premier - San Francisco

Technical Support Engineer 3, Premier - San Francisco

Datadog

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Premier Technical Support Engineers (PSEs) are primarily focused on assisting prospects and customers with any technical questions about Datadog. PSEs engage with Datadog’s Premier customers not only via standard technical support channels, but also get involved via cadence calls, business reviews, and side projects. You will be immersed in a fast-paced environment where you will be challenged, but will also immediately witness your contributions to Datadog and to our customers.   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: * Respond to Premier customer requests (phone / chat / tickets) on our fast paced team while continuing to educate our clients on the use of the platform * Develop relationships with our Premier customers, working hand-in-hand to understand their specific environment * Reproduce customer issues and assist customers implementing 1,000+ Datadog integrations * Handle urgent escalation requests that may result in customer-facing troubleshooting calls, and internal or external incident management * Build subject matter expertise in many Datadog product areas * Autonomously troubleshoot complex and/or high-priority customer issues without guidance * Drive product and engineering conversations based on needs, use cases, and problems learned during client interactions * Provide mentorship to junior members of the team and serve as their escalation partner * Participate in routine health check meetings with Premier customers * Build out and improve documentation and knowledge base articles for a variety of technologies Who You Are: * Experienced in multi-channel technical support at a PaaS, IaaS or SaaS company (5+ years of related experience) * A problem-solver with experience in programming, Linux and networks. Cloud technology experience is preferred. * Self-motivated, detail-attentive, with a desire for continuous learning  * A critical thinker who defaults to a client-centric approach * A decision maker but knows when the decision should be escalated * Have been in a Premium/Enterprise technical support role previously * Knowledgeable of current infrastructure, monitoring solutions and technologies * Able to work a rotating schedule that requires weekend availability     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: * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid   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: $96,000—$141,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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.

Manager II, Machine Learning Engineering, Core Engineering

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team’s technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics. What you’ll do: * Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability * Deeply understand the Pinterest product and drive the vision for the  team, ensuring the team’s work directly contributes to the company’s goals * Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates * Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding * Provide visibility to senior leadership regarding the team’s global impact * Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest * Build a culture of excellence and expertise within the team What we’re looking for: * MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience * Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology * Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus * Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution * Strong focus on product impact and user experience within a consumer-focused environment * Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members * 8+ years of experience in software development, with a proven track record of delivering impactful solutions * Nice to have:  * Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring * Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.   #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $189,308—$389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Senior Software Engineer

Prolific

SENIOR SOFTWARE ENGINEER  Engineering  Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.   The role We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems. This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams. This role is hybrid based out of our San Francisco office, approx 1-2 days a week.   What you’ll bring to the role * Over 4 years of experience in a product engineering role * Can translate business concepts into software models * Ability to quickly learn and adapt across the breadth of Prolific’s domains * Familiar working in both monoliths and distributed systems * Strong communication and collaboration skills for direct customer interaction * Good understanding of modern web applications and architecture design patterns * Experience supporting applications in production environments * Judgment to balance scrappy startup execution with scalable, reliable engineering * Comfort with rapid iteration and responding to customer queries with urgency * Experience with some of our technology stack: * Python (we use Django & Fast API) * TypeScript and JavaScript (we use Vue.js) * SQL and NoSQL databases (we use MongoDB and PostgresSQL) * Building and deploying to the cloud (we use GCP, Kubernetees, Github Actions & CircleCI) * Instrumenting, monitoring & observability (we use Datadog)     What you’ll be doing in the role  This is a unique engineering role at Prolific. In this role, you will operate with high ownership and a product mindset, at start-up pace, to solve customer problems and capture business opportunities irrespective of the technology required to do so. You will be part of a cross-functional Product Engineering team, optimised for the success of a single customer group. You will collaborate directly with account managers, customer success specialists and customers to deeply understand their problem spaces. You will ideate and build with autonomy, supported by a high-performing team. This role will see you work across Prolific domains to solve customer problems, needing you to get up to speed quickly and deliver across shared codebases to a high engineering standard. You will also help support our systems in production & respond to incidents when required.     Key Technologies  * Cloud Platforms: Google Cloud Platform and AWS * Programming Languages: Python, JavaScript, and TypeScript * Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures * Databases: MongoDB and DynamoDB * DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog   Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. You can check the job posting’s subtitle to see where the position is based. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process. For pay transparency, the base salary range for this full-time role in San Francisco is $250,000 - $300,000 per annum.   Links to more information on Prolific Benefits  External Handbook  Website  Youtube    Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.