Own and evolve Bevi’s end-to-end data platform, from ingestion and IoT modeling through governed self-service analytics and AI access. The senior individual contributor will architect scalable streaming and batch systems, establish governance and observability, and provide technical leadership across the Data & Data Science organization.

The Product Analyst will analyze customer behavior and product performance across HighLevel’s Lead Generation suite, building metrics, dashboards, experiments, and actionable recommendations. The role requires 1–3 years of analytics experience, strong SQL, and proficiency with product analytics or BI tools.

Build and improve Magic Patterns’ AI design agent by owning its evaluation infrastructure, self-improvement loop, and model-quality initiatives. The role requires experience with AI models or agents, evaluation systems, post-training, or context engineering, plus strong first-principles problem solving.

Build and ship agentic AI product experiences, internal automation, and customer-facing features across the stack. The role requires 5+ years of software engineering experience, hands-on experience with AI or LLM-powered products, Python proficiency, and strong autonomy.

The Senior Algorithm Engineer leads development and production deployment of machine and deep learning algorithms for biosignal and medical-device applications. The role requires 5+ years of industry experience, DSP and statistics expertise, PyTorch proficiency, and familiarity with regulated health or similar domains.

Builds agentic AI, automated data workflows, and BI solutions for complex telecommunications datasets. The role requires 5+ years of technical data and automation experience, strong SQL and Python skills, and expertise in data governance and LLM-based tools.

The Senior Data and AI Specialist will build agentic AI solutions, automated Python workflows, and analytics products across telecommunications data. The role requires at least five years of experience with SQL, data automation, BI tools, LLM agents, and data governance.

Build and optimize OpenAI’s inference stack for AWS Trainium across high-performance kernels, compilers, runtimes, and model execution. The role requires systems programming and accelerator experience, with opportunities to solve end-to-end performance problems for frontier-scale AI models.

Analyzes inventory data and controls for data center and supercomputer operations, maintaining accuracy, traceability, stock levels, and material flow. The role requires 4+ years of inventory experience, SQL proficiency, advanced Excel skills, and onsite warehouse or data center work.

Analyzes product and business data, develops metrics and dashboards, and communicates actionable recommendations to cross-functional teams and leadership. Candidates should be pursuing a quantitative bachelor's or master's degree, with SQL proficiency and familiarity with Python or R.

Leads the design and delivery of scalable data infrastructure, services, and developer tooling while shaping technical direction and mentoring engineers. Requires 8+ years of software engineering experience, strong systems design expertise, and proficiency in a modern programming language.

Build and operate production AI agent systems that help Sales and Marketing teams with account planning, deal support, competitive intelligence, and content creation. The role requires 6+ years of experience shipping reliable LLM workflows with retrieval, tool use, permissions, evaluation, and observability.

Principal technical leader defining architecture and multi-year strategy for Pinterest’s Homefeed, Search, and AI Assistant experiences. The role requires 15+ years of large-scale systems or machine-learning experience, deep expertise in discovery and generative AI, and hands-on leadership across engineering and product organizations.

Own customer-facing causal marketing measurement engagements, from model configuration and QA through interpretation, recommendations, escalations, and enablement. The role requires direct MMM experience, marketing experimentation knowledge, and strong customer communication skills.

Senior Data Analyst supporting Sales, Marketing, and Customer Success through GTM analysis, data modeling, and decision support. The role requires 5+ years of analytics experience, expert SQL and dbt, Python, Salesforce, and familiarity with modern BI and AI-assisted workflows.

Senior Software Engineer on Observe by Snowflake’s Data Management team, owning the APIs, schemas, and abstractions for scalable tables, views, and materialized views across streaming telemetry. Requires 5+ years of experience with databases, SQL, streaming or data pipelines, API design, and production distributed systems.

Build AI agents, semantic layers, and workflow automations that replace traditional finance BI at Snowflake. Design prompts/skills in CoCo, develop Python/SQL pipelines and Streamlit apps, own semantic models, and deliver earnings/reporting automation for Strategic Finance. Requires daily LLM coding assistant experience, strong Python/SQL, and finance analytics background.

Analyzes and validates autonomous-vehicle datasets, monitoring annotation quality, coverage, anomalies, and behavioral edge cases. The role requires Python and database-analysis skills, strong attention to detail, a relevant technical degree, and practical driving experience.

Leads the design, deployment, and optimization of agentic and generative AI systems that automate risk and compliance investigations at scale. Requires 8+ years of machine learning modeling experience, production ML expertise, and advanced technical education.

Owns marketing-sourced pipeline across multiple growth motions by designing, launching, and optimizing integrated B2B SaaS campaigns. The role requires 10+ years in demand generation or growth marketing, pipeline ownership, strong funnel analytics, and hands-on experience with Salesforce, Marketo, and ABM platforms.

Leads end-to-end healthcare analytics consulting projects, translating client questions into analyses, managing stakeholders, and delivering data-driven insights. Requires 8+ years of healthcare analytics experience, quantitative training, project leadership, strong communication, and SQL, Python, or R proficiency.

Analyzes regional marketing performance, develops data-driven recommendations for leadership, and communicates insights that guide strategy and revenue growth. Requires at least five years of analytical experience, analytics-tool fluency, and experience with AI products.

Leads Addepar’s globally distributed Analytics function, setting strategy, advancing BI and data-platform maturity, and driving governance and AI-ready data outcomes. Requires 12+ years of relevant experience, including significant analytics leadership, global SaaS experience, and deep data-platform expertise.

Senior Data Scientist helping shape company planning and execution through statistical analysis, machine learning, data modeling, and decision-focused recommendations. Requires 5+ years of quantitative experience, strong SQL and Python skills, and the ability to communicate insights to varied stakeholders.

Own North’s evaluation strategy and build feedback systems that connect real enterprise workflows, user needs, and production failures to model improvements. The role requires strong applied machine learning judgment and the ability to translate product signals into rigorous, actionable evaluations.

Owns end-to-end GTM analytics and modeling initiatives, turning complex sales data into forecasting, segmentation, territory, and prioritization solutions. The role requires advanced SQL and Python, statistical or machine learning experience, strong stakeholder communication, and approximately 4–7+ years of relevant experience.

Staff Data Scientist driving search ranking and results improvements through machine learning, NLP, evaluation, and ranking-signal development. Requires 10+ years of data science experience, staff-level leadership, production ML deployment, Python, and advanced SQL skills.

Build and operate the autonomy stack for industrial robots, spanning task, behavior, motion, and trajectory planning. The role requires hands-on hardware experience, strong Python and C++ skills, and expertise in planning architectures, recovery, and multi-robot coordination.

Leads advanced analytics for Airbnb’s Community Support business, partnering with product and business leaders on experimentation, scalable data solutions, forecasting, machine learning, and AI-first workflows. Requires 8+ years of experience, advanced quantitative training, expert SQL, advanced Python, and strong stakeholder leadership.

Defines the technical vision and architecture for enterprise AI products, focusing on agentic reasoning, NL-to-SQL, RAG, reliability, and scalable LLM orchestration. Requires 10+ years of software engineering experience, substantial LLM deployment leadership, and Principal-level technical influence.

Builds customer intelligence workflows that turn product usage, engagement, and contract data into actionable insights for Customer Success. The role requires strong Python and SQL skills, a bachelor's degree, and an interest in applied AI, automation, and predictive customer health modeling.

Own product and operational analytics for a healthcare platform, defining core metrics, investigating user and workflow behavior, and translating findings into executive-level recommendations. The role requires at least 3 years of analytics experience, strong SQL and Python or R skills, and excellent communication.

The Senior Strategic Sourcing Data Analyst will turn procurement data into insights that improve savings, working capital, supplier performance, and operational efficiency. The role requires 5–7 years of analytics experience, advanced visualization and SQL skills, and familiarity with procurement systems such as Coupa and SAP.

Senior software engineer building and evolving Fetch’s data platform, including pipelines, governed data access, delivery infrastructure, and partner integrations. The role requires 8+ years of experience, strong platform or backend expertise, ownership of complex cross-team initiatives, and excellent technical judgment.

The Strategic Sourcing Data Analyst analyzes procurement data, builds reporting and predictive models, and develops AI-enabled workflows to improve sourcing decisions, cost savings, and operational efficiency. The role requires 2–4 years of analytics experience, strong SQL and visualization skills, and familiarity with procurement systems.

Build and productionize post-training systems for voice and text agents, including environments, verifiers, synthetic data, evaluations, and model training. The role requires strong Python and end-to-end model development experience, with reinforcement learning and distributed training expertise preferred.

Builds the data foundation for a client retention and personalization team, including ELT pipelines, predictive data models, marketing integrations, and measurement layers. Requires modern data-stack experience, strong SQL and programming skills, and regular use of AI coding assistants.

Designs and delivers enterprise analytics tracking solutions across web, mobile, and app platforms, serving as a technical subject matter expert for clients and consultants. Requires deep Tealium expertise, strong JavaScript skills, and at least three years of analytics implementation experience.

Build and productionize Agnes, an AI supply-chain manager, by developing LLM-powered agents, automations, evaluation pipelines, and observability systems. The role requires hands-on experience with modern LLM APIs, Hugging Face, prompting, system design, and production AI workflows.

Measures and improves healthcare AI agents in production by instrumenting performance, diagnosing quality issues, and designing experiments with clinical experts. The role requires Python, analytical judgment, comfort with ambiguity, and interest in healthcare.

Design and scale ML infrastructure and real-time learning systems powering personalization, search, ranking, and ad tech for millions of consumers. The role requires deep distributed-systems and data-pipeline expertise, strong architecture leadership, and experience delivering zero-to-one ML systems.

Build and ship production Applied AI capabilities, including agent infrastructure, RAG services, evaluation systems, and AI-powered engineering workflows. The role requires 6+ years of software engineering experience, strong backend and distributed-systems skills, and direct experience delivering LLM- or ML-powered products.

Evaluates model and Generative AI risks across Upstart Bank’s model inventory, conducting risk assessments, monitoring reviews, quantitative analyses, and governance activities. Requires a quantitative master’s degree, 4+ years of relevant experience, and coding skills in Python, R, or similar languages.

Researches and productionizes machine-learning models for session replay analysis, user behavior prediction, and synthetic testing. The role requires strong mathematics, PyTorch, systems programming in Rust/CUDA/C, and a product-oriented approach to shipping.

Build and own Wrapbook’s analytics layer, including production pipelines, governed data models, canonical datasets, self-serve analytics, and monitoring. The role requires strong SQL and Python, modern warehouse experience, and 4+ years in data or analytics engineering.

The Staff Machine Learning Engineer will architect and deploy scalable generative AI and machine learning systems, including retrieval, inference, evaluation, and agentic workflows. The role requires 7+ years of software development experience, strong Python skills, applied ML expertise, and deep familiarity with modern GenAI platforms and frameworks.

Develops models, experimentation frameworks, causal analyses, and data products that improve Airbnb’s guest and host experiences, pricing, and marketplace growth. Requires 5+ years of experience with a bachelor’s or master’s degree, or 2+ years with a PhD, plus strong SQL and Python or R skills.

Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.

Provides scientific and strategic leadership for evidence generation across a breast cancer diagnostic portfolio, overseeing clinical and translational studies, external collaborations, publications, and cross-functional product development. Requires an advanced degree, at least five years of relevant experience, and deep expertise in breast cancer diagnostics.

Analyzes Talent Acquisition and workforce data to identify trends, improve hiring effectiveness, and inform People and business-leader decisions. The role requires 3+ years of HR-focused analytics experience, SQL and advanced Excel proficiency, and strong stakeholder communication.