
Qube Research & Technologies · New York
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a ...
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset
classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining
data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex
challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
You'll work closely with QRT's engineers, quantitative researchers and data scientists to accelerate software delivery using
modern AI coding tools and agents. This is a hands-on engineering role focused on solving real problems, building practical
solutions and helping teams deliver high-quality software to production faster. You'll have significant autonomy and will be
measured by the impact you deliver.
We value strong engineering judgement, hands-on AI-assisted delivery and a bias for impact. We do not expect candidates to meet
every requirement below.
engineering environment.
Base salary range for this position is $180,000 to $300,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. ---------------------------------------------------------------------------------------------------------------------------------- About the role... We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... * Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. * Contribute to the development and training of a variety of machine learning models, including large-scale neural networks. * Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. * Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group. * Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. * Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects. * Mentor team members, providing guidance and support in their professional development. * Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅ You have... * Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. * Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. * Strong background in training and fine-tuning large models in an applied setting. * Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. * Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates. * Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices. * Deep understanding of machine learning concepts, frameworks, and best practices. ---------------------------------------------------------------------------------------------------------------------------------- The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800—$331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here. Job Alerts: Sign up for job alerts here. Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com. Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog. 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: * Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform * Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety * Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows * Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle * Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation * Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compliance, legal, privacy, and governance stakeholders Who You Are: * You have 5+ years of experience in B2B SaaS Product Management or a related technical leadership role focused on developer platforms, infrastructure, or SDLC tooling * You have experience defining, instrumenting, and operationalizing engineering performance and reliability metrics, including DORA metrics and deployment health indicators * You are comfortable navigating ambiguity and influencing highly technical stakeholders, including senior engineers and technical leadership * You have a strong perspective on how AI is transforming software engineering workflows and understand the operational, reliability, and governance risks introduced by autonomous systems * You are an effective communicator who can present complex technical concepts to engineering teams, cross-functional stakeholders, and executive audiences * You have a Bachelor’s degree in Engineering, Computer Science, Information Technology, or equivalent practical experience 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. Benefits & Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds * Access to Inclusion Talks, our Internal panel discussions * Free, global Spring 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. 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: $192,000—$240,000 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.
The Infrastructure Monitoring organization at Datadog is responsible for delivering the products that give engineering teams complete visibility into the health and performance of their infrastructure — from hosts and containers to cloud-native and hybrid environments. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of our Infrastructure Monitoring product capabilities at Datadog in the AI era. In this role, you will bring a combination of technical expertise, product management experience, and a deep understanding of infrastructure and observability to help Datadog grow it’s leadership position in infrastructure monitoring. You will lead a team of product managers and collaborate with senior leadership in product, engineering and design. 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: * Own the vision and strategy for Infrastructure Monitoring products, ensuring alignment with overall company goals and customer needs. This will include managing a subset of the infrastructure product portfolio.. * Identify new opportunities for infrastructure product innovation and drive them from concept to execution, ensuring they have a measurable impact on customers and the business. * Define product roadmaps and manage the prioritization of features and initiatives to ensure the team's efforts are aligned with business goals. * Drive AI-powered product innovation by identifying and embedding AI capabilities into the infrastructure monitoring product suite and support customers transformation with AI * Work closely with customers and stakeholders to deeply understand their pain points, ensuring that infrastructure monitoring solutions are delivering tangible value and solving real-world problems. * Collaborate with cross-functional teams including engineering, design, data science, marketing, and sales to deliver infrastructure product solutions that meet customer needs and business objectives. * Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, customer-impactful features. * Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. * Foster a culture of innovation and excellence in infrastructure product development, ensuring that Datadog remains the leader in infrastructure observability. Who You Are: * Experience: You have proven experience in B2B SaaS product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. * Domain expertise: Deep understanding of infrastructure, cloud platforms, DevOps, or observability — you can engage credibly with customers, engineers, and architects on technical topics including cloud-native and AI architectures, Kubernetes, compute/storage/networking, and distributed systems * Proven leadership: Track record of building and developing high-performing PM teams; experience managing both ICs and senior PMs * Strategic and execution-oriented: Ability to set a long-term product vision while driving rigorous near-term execution across a complex, multi-team product area * Customer obsessed: You have strong instincts for understanding customer pain and translating it into product strategy that creates real value * Data-driven: Comfortable defining KPIs, analyzing product usage, running experiments, and making prioritization decisions under uncertainty * Strong communicator: Excellent written and verbal communication skills; able to influence senior engineering stakeholders and align cross-functional teams — and present confidently to executives and customers * Collaborative and low-ego: You lead with empathy and directness, take ownership, and thrive in a fast-paced, high-growth environment * Preferred Experience: * Experience at a monitoring, observability, or cloud infrastructure company * Background in software engineering, SRE, or platform architecture * Familiarity with Kubernetes, eBPF, OpenTelemetry, or cloud cost optimization * Experience managing a PM org through a period of rapid product or company scaling If you're passionate about shaping the future of infrastructure observability and driving innovation at scale, we'd love to hear from you! 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. Benefits & Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds * Access to Inclusion Talks, our Internal panel discussions * Free, global Spring 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-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: $280,000—$350,000 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.