SQL Jobs

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. As a Research Engineer, you will work at the intersection of engineering and applied AI research, contributing directly to post-training, RLVR, synthetic data generation, and large-scale evaluation workflows that impact frontier language models. Your work will be instrumental in training LLMs for tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, run experiments, build scalable systems, and design/evaluate datasets and augmentation pipelines to enhance model performance and push the boundaries of LLM learning.

OpenAI

OpenAI is seeking a Data Scientist to join the Preparedness team, a critical part of the Safety Systems organization. This role focuses on building, evaluating, and improving mitigations to prevent extreme harms from AI systems. You will go beyond standard evaluations to create intelligence and monitoring systems that enable early issue detection, measure mitigation effectiveness, and reduce both over-blocking and under-blocking of harmful content. This is a fast-paced, impactful role for an experienced, autonomous individual contributor who can structure rigorous analyses and translate findings into actionable product and policy changes.

Perplexity is seeking a Data Scientist to translate product questions into clear, actionable decisions. This role involves collaborating across product, engineering, growth, design, and user research teams to analyze user behavior, establish key metrics, design experiments, and identify high-impact opportunities for the company. The data team operates with an AI-native approach, leveraging AI tools to enhance analysis, coding, hypothesis exploration, documentation, and workflow automation. The core of the role emphasizes critical judgment in asking the right questions, selecting appropriate metrics, designing effective tests, and determining when findings are sufficient to guide action.

Perplexity is seeking an Analytics Engineer or Data Engineer to build the foundational systems for an AI-native data organization. This role involves designing and maintaining core data models, pipelines, semantic layers, data quality systems, and governance practices that empower the entire company. You will ensure these systems are secure, privacy-aware, and accessible to AI agents, data scientists, and other stakeholders, enabling strategic decision-making and efficient operations with trusted data. The ideal candidate operates at the intersection of analytics engineering, data engineering, data governance, and internal product development, with a strong focus on dimensional modeling, dbt standards, cost-aware warehouse design, and data trustworthiness, while believing AI can enhance the data stack's speed, maintainability, and accessibility.

Decagon is seeking a BizOps & Strategy professional to lead commercial and pricing strategy within the Founder's Office. This team focuses on high-leverage initiatives including partnerships, business development, pricing strategy, AI transformation, and data analytics. The primary goal of this role is to accelerate and streamline the enterprise go-to-market motion by working closely with the GTM team to close deals. This involves developing pricing and packaging strategies, building internal deal and pricing processes, and contributing to proposal creation and negotiation for enterprise customers. The role requires a blend of strategic thinking and execution, attracting highly motivated problem solvers with strong analytical rigor and relationship-building skills.

Langfuse is building the "Datadog" for LLM engineering platforms, offering tracing, evaluation, and prompt management. As part of ClickHouse, we are scaling our open-source platform to process terabytes of AI tracing data daily for thousands of AI teams, including 19 of the Fortune 50. We are seeking a Senior Backend Engineer to own and scale the infrastructure that powers this data-intensive platform. Your work will directly impact the performance and affordability of Langfuse at scale, optimizing ingestion pipelines, ClickHouse data models, and backend abstractions. You will also ensure Langfuse runs seamlessly across cloud and self-hosted environments, with direct access to the ClickHouse database engineering team.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a GTM Engineer to implement Go-to-Market software for our marketing, sales, and agent development teams. This role involves designing and building automated workflows, integrations, and AI-powered systems to manage the lead lifecycle from enrichment to outbound activation. You will own the enrichment infrastructure end-to-end, build AI agents and internal tools to enhance sales team productivity, and develop data architecture for efficient data flow. The ideal candidate will have a strong understanding of modern GTM stacks and production experience with LLMs.

Decagon is seeking a Field Engineer to own the technical scoping and implementation of complex requirements for enterprise prospects and customers. In this dynamic, cross-functional role, you will serve as the technical expert and trusted advisor, proving technical feasibility and potentially carrying work through to production. You will build intricate integrations, configure and optimize AI agents for production environments, and collaborate with Solutions Engineers, Product, and Engineering teams to develop necessary features. Your responsibilities will include establishing technical credibility with stakeholders across various organizational levels and driving the technical win for critical enterprise opportunities.

Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will partner with Account Executives to identify, qualify, and close strategic enterprise opportunities, lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements, and design and present compelling technical solutions that demonstrate how Modal addresses customer needs. You will also architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform, conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities, and navigate complex technical evaluations and address security, compliance, and integration concerns. Additionally, you will build trusted advisor relationships with technical decision-makers, collaborate with product and engineering teams to communicate customer feedback and influence product roadmap, and support contract negotiations by providing technical expertise.

Replit

Replit is seeking a highly technical, data-driven Growth Engineer to help scale its product and expand key user metrics across acquisition, activation, retention, and monetization. This role sits at the intersection of engineering, product, and marketing, leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. The ideal candidate will drive experimentation and optimization by designing, implementing, and analyzing A/B and multivariate tests, and identify bottlenecks in user funnels to improve conversion rates. They will also build and scale growth-oriented product features like onboarding flows and referral systems, ensuring scalable code and infrastructure. Collaboration with data teams for tracking, dashboards, and user behavior analysis, along with leveraging SQL and analytics tools, is crucial. The role involves close partnership with product managers, designers, marketers, and data scientists to align on growth goals and translate business objectives into technical requirements.

Harvey

Harvey is transforming legal and professional services by combining AI, an enterprise platform, and domain expertise. This is a chance to help build a generational company at an inflection point, with strong product-market fit and investor support, as we scale rapidly and define a new category. The team moves fast, takes ownership, and is committed to the mission, valuing decisiveness, simplicity, and continuous improvement. As a Backend Platform Engineer, you will build and operate the cohesive backend platform supporting all Harvey services. This role focuses on designing and implementing shared frameworks and libraries to abstract common concerns, enhance developer experience, and improve reliability and performance across teams, enabling product engineers to focus on shipping features.

$238k - $290k

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible. We build open models that empower individuals to control their intelligence and shape the future of AI. In this role, you will be instrumental in advancing AI innovation by focusing on data, which is critical for developing capabilities like agentic tool use, long-horizon reasoning, and robust safety alignment. You will collaborate with world-class researchers to design and implement our data strategy, directly influencing the performance of our AI models.

Replit

Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.

OpenAI

As a Data Scientist on the Financial Engineering (FinEng) team, you will own the analytics and experimentation that drive improvements in our checkout, payments, subscriptions, and pricing & monetization systems. You will be responsible for defining key metrics, building reliable data assets, and designing experiments to boost conversion rates, reduce churn and payment failures, and expand global payment method coverage. Your work will have a direct impact on revenue, customer experience, and international scaling efforts.

OpenAI

Codex is OpenAI’s first-party developer product focused on agentic software engineering, building tools to help engineers design, write, test, and ship code faster, safely, and at scale. As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software.

OpenAI

OpenAI's Platform team is responsible for powering how millions of developers and enterprises build with our models, providing APIs and agentic solutions. As a Data Scientist on this team, you will drive a data-driven culture for OpenAI's API and B2B solutions. You will define key metrics for developer success and enterprise value, measure the impact of new models and features, and collaborate with product managers and engineers to enhance model quality, reliability, latency, and cost. Your work will directly influence how numerous products adopt agentic AI.

Mercor is a leading AI data company building the layer between human expertise and frontier models. Millions of domain experts are paid to train frontier AI models, and Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this infrastructure to Fortune 500 companies, helping them capture how their best people work and translate that expertise into agents. The company is creating a new category of work where expertise powers AI advancement, requiring an ambitious, fast-paced, and deeply committed team working alongside researchers, operators, and AI companies at the forefront of shaping systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion.

OpenAI

As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. You will guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. You will be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.

Mistral AI

Mistral AI is a pioneering company focused on democratizing AI through high-performance, open-source models and solutions. We are seeking passionate and skilled software engineers to join our dynamic, collaborative team. In this role, you will design, build, and maintain our data infrastructure, ensuring data accuracy, accessibility, and security. Your contributions will be crucial in enabling our science teams to enhance AI model quality and empowering business users to make informed decisions.

OpenAI

As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team.