Join DoorDash's Go-To-Market Technology (GTMT) team as an Analytics Engineer, where you will harness data to fuel our rapid growth. You will create innovative solutions that streamline business processes and enhance the productivity of our GTM teams. In this role, you will dive deep into data analytics, build scalable tools, and transform insights into actionable strategies that drive business success. Collaborating with cross-functional teams, you will automate workflows, ensure data integrity, and leverage AI capabilities to elevate our data infrastructure.

Join Gusto as a GTM Analytics Engineer and play a pivotal role in driving our analytics initiatives. As a part of our team, you will develop and maintain robust analytics frameworks that empower data-driven decision-making within our go-to-market strategies. You will collaborate closely with cross-functional teams to ensure the accuracy and accessibility of data, while also identifying opportunities for continuous improvement.

About UsAt Shepherd, we are revolutionizing the landscape of commercial Property & Casualty insurance for high-hazard industries through cutting-edge technology. Our goal is to streamline risk management for those who are pivotal in shaping the physical world, providing protection from the initial concept to the operational phase that spans decades.We are developing the most advanced commercial risk platform where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingMore accurate and intelligent pricingEnhanced risk management outcomesWith Shepherd, we ensure that safety, speed, and quality work in unison, creating synergies instead of trade-offs. We are not merely updating insurance products; we are laying the groundwork for the future of financial services where technology, underwriting practices, and partnerships harmoniously support vital industries and their progressive endeavors.Our InvestorsShepherd has successfully raised over $20M from prestigious investors including:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many more...Our TeamWe are a dynamic group of technology enthusiasts and insurance experts, united to bridge these two vital fields. For more information, visit our About Us page.The RolePosition OverviewAs our GTM Analytics & Strategy Specialist, you will be instrumental in driving the growth and scalability of Shepherd. You will analyze diverse datasets and systems across GTM, underwriting, product development, and operations to extract insights that guide our strategic decisions, implementation, and resource management.

About RoxAt Rox, we empower individuals to excel in their endeavors.Our innovative platform enhances sales performance through autonomous revenue agents, allowing sellers to concentrate on their core strengths: selling. Just as coding agents revolutionized engineering, revenue agents transform customer interactions.We are pioneering the revenue stack by creating the world's first revenue operating system, integrating the application layer with contextual systems. With Rox, humans evolve into orchestrators while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across various industries, including banking, hardware, construction, and sovereign AI, while also supporting AI frontrunners like Ramp and Cognition.This success is anchored by a shared mission and an unyielding commitment to making it a reality.The TeamOur world-class team is the backbone of our efforts to redefine business operations.Team members boast:Successful company founders and exitsFormer leaders at Google, AWS, Confluent, and New RelicGold medalists from IMO and IOIAuthors of groundbreaking papersWe are proud to be backed by top investors, having secured $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters. We are dedicated to ensuring that every interaction facilitates the seller's tasks while also enhancing their experience. We strive for perfection and are relentless in our pursuit of improvement.Obsession: Commit wholeheartedly.We are proactive in delivering value, anticipating customer needs before they arise. We continuously learn and refine our skills to elevate our craft and our products.Action: Deliver results.We believe that execution is key. Our approach emphasizes swift yet thoughtful decision-making, ensuring we build trust through reliable delivery.

Join our innovative team at alljoined as a Data Infrastructure Engineer where you will play a pivotal role in shaping our data architecture and ensuring the reliability and efficiency of our data systems. You will collaborate with cross-functional teams to design and implement scalable data solutions that empower data-driven decision-making.

At Gong, we leverage cutting-edge AI technology to revolutionize how revenue teams achieve success. Our Gong Revenue AI Operating System seamlessly integrates data, insights, and workflows into one reliable platform, empowering the world's leading revenue teams to observe, guide, and act with unparalleled effectiveness. With the Gong Revenue Graph at its core, our AI-driven intelligence, specialized agents, and trusted applications support over 5,000 companies globally, enabling them to gain deeper insights into their teams and customers, automate essential sales processes, and close deals with greater efficiency. For additional information, visit www.gong.io.Joining Gong means becoming part of a dynamic organization driven by innovation, ambitious aspirations, and dedicated individuals. We are at the forefront of shaping the future of revenue intelligence and seek those who are eager to contribute to what's next. Collaborate with a team that dreams big, moves swiftly, and values craftsmanship and camaraderie. Transparency and trust are fundamental to our operations, and every team member has the chance to make a significant impact. If you are ready to grow, challenge yourself, and engage in meaningful work, Gong is where you can achieve the pinnacle of your career.The GTM Data Architect is responsible for the comprehensive strategy, governance, and execution of data orchestration, enrichment, control, and activation within the GTM organization. This key role guarantees that data is not only accurate but also usable, scalable, and seamlessly integrated into workflows that enhance adoption and performance. You will act as the primary owner of account and lead data strategy, connecting RevOps, Field Ops, Systems, Sales, Marketing, and AI/Automation teams to establish a forward-thinking, execution-ready data foundation.

Join Databricks as a Senior Analytics Engineer specializing in Go-To-Market (GTM) Strategy and Operations. In this pivotal role, you'll leverage your analytical expertise to empower our marketing and sales teams, enabling data-driven decisions that drive growth and enhance customer engagement.You will be responsible for developing insightful dashboards, conducting deep-dive analyses, and designing metrics to measure success across our go-to-market strategies. Your insights will guide our teams in optimizing performance and achieving strategic objectives.

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

At Netic, we are revolutionizing the essential services sector by harnessing the power of AI. Our technology serves as the backbone of the American economy, empowering businesses to streamline operations and enhance revenue generation.With an impressive $43 million in funding from notable investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have significantly increased our customers' ability to book jobs across various service industries in North America. Many companies now operate on an AI-first model using Netic.Joining our team means collaborating with a diverse group of innovators from top-tier organizations including Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. Together, we are integrating cutting-edge AI solutions into the physical economy, tackling complex challenges with immediate and measurable impact.About the RoleWe are in search of a talented GTM Engineer who will set a benchmark for our data and systems utilization. Your role will focus on building our GTM engine while also assisting our customers in developing their own.As we lay the groundwork for the most effective GTM engine in the tech industry, you will engage in tasks such as defining the total addressable market (TAM), tracking relevant signals, selecting the appropriate tools for acquisition or development, and creating an environment where marketers and sales professionals can leverage AI effectively.This role presents an exceptional opportunity for ambitious GTM Engineers passionate about crafting sophisticated systems that drive significant revenue growth. If you are interested, please send a brief video showcasing something you've built to noah@netic.ai.

At Peregrine Technologies, a company backed by top-tier Silicon Valley investors, we empower public safety organizations, state and local governments, federal agencies, and private-sector entities to tackle societal challenges with unparalleled speed and precision. Our cutting-edge AI-enabled platform transforms fragmented and isolated data into actionable operational intelligence, delivering crucial insights that enhance decision-making processes and improve outcomes across various scenarios. Currently, we proudly serve hundreds of clients across over 30 states and two countries, impacting more than 125 million lives, and we are poised for further growth as we expand into the enterprise sector and international markets.TeamWe believe that empathy is key to enhancing our solutions. Our engineering team prioritizes understanding how users interact with our products, which guides us in finding the best solutions. You'll have the chance to collaborate closely with our onsite team to explore the diverse use cases that Peregrine addresses.We value both ownership and teamwork. In this role, you will be responsible for significant features while working alongside fellow engineers to bring them to fruition. We hold humility and empathy in high regard as essential traits for crafting effective solutions, and you will engage directly with our deployment team and users to iterate on problem-solving. Creativity and resilience are vital as we pursue our vision.RoleWe are in search of a Staff Data Infrastructure Engineer to join our dynamic team. In this role, you will take full ownership of the data layer that is foundational to all of Peregrine's operations. You will design and construct the systems responsible for ingesting, storing, and serving vast amounts of real-time operational data, empowering our clients to make critical decisions quickly and confidently.This senior individual contributor position is ideal for someone who excels at tackling complex technical challenges and possesses the experience and judgement necessary to influence key infrastructure decisions. You will engage with a variety of intricate challenges, including:Designing and managing a high-throughput, real-time data integration platform across diverse customer environments.Architecting a scalable open table format layer to ensure reliable data storage at petabyte scale.Building and optimizing distributed data processing pipelines using Apache Spark and related streaming technologies.Enhancing performance, reliability, and cost efficiency across the entire data infrastructure stack.Collaborating with platform and product engineering teams to define data contracts, schemas, and integration pathways.

About Our TeamThe Scaling team at OpenAI is dedicated to designing, constructing, and managing essential infrastructure that powers groundbreaking research.Our mission is straightforward: to expedite the advancement of research towards Artificial General Intelligence (AGI). We achieve this by developing foundational systems that researchers depend on, spanning from core infrastructure elements to specialized applications tailored for research. Our systems are designed to scale efficiently with the growing complexity and size of our workloads while ensuring reliability and user-friendliness.About the PositionWe are seeking a Senior Software Engineer to take charge of critical production infrastructure from start to finish.This role primarily focuses on backend and systems engineering, with a strong emphasis on low-level performance, distributed systems, and the hands-on management of vital services at scale. You will be responsible for transforming ambiguous challenges into actionable plans, delivering pragmatic solutions promptly, and refining them based on real-world feedback and iterations.This position goes beyond a standard Python backend role; we are specifically on the lookout for candidates with robust systems experience in Rust or C++, particularly in performance-sensitive infrastructure.This is an in-office role based in San Francisco, CA, following a hybrid model of three days in the office per week. We also provide relocation assistance for new hires.Your ResponsibilitiesManage critical infrastructure throughout its lifecycle, including design, implementation, deployment, operation, and ongoing improvements.Develop and maintain high-performance backend systems in Rust or C++ that facilitate core research operations.Design and optimize distributed data and serving systems, considering partitioning, replication, consistency, retries, backpressure, and failure isolation.Identify and resolve production bottlenecks related to latency, throughput, contention, hot spots, and overload scenarios.Oversee mission-critical services, including on-call duties, incident management, postmortems, observability, deployment safety, and zero-downtime migrations.Enhance the reliability of services running on Kubernetes, focusing on resource tuning and failure management.Collaborate closely with engineers and researchers to deliver fast, dependable, and effective systems.Elevate standards through strong technical judgment, ownership, and commitment to quality.You Will Excel in This Role If You Have:A proven track record of owning and delivering operationally critical systems end to end in ambiguous settings.Experience with systems programming in Rust or C++.Strong analytical skills and a problem-solving mindset.Excellent communication and collaboration skills.

The Scaling team at OpenAI builds and maintains the core infrastructure that supports research efforts. This group focuses on enabling rapid progress toward Artificial General Intelligence by providing the systems and tools researchers rely on every day. Their work covers everything from foundational infrastructure to specialized applications, all designed to handle increasing complexity and scale without sacrificing reliability or ease of use. Role overview OpenAI is seeking a Site Reliability Engineer to manage and improve the infrastructure behind its analytics platform. This position centers on supporting production systems that handle data-intensive, low-latency workloads. Key technologies include large-scale ClickHouse clusters, high-throughput Kafka pipelines, and stable integrations with Snowflake. The engineer in this role will turn ambiguous operational challenges into concrete solutions, deliver improvements quickly, and iterate based on real-world feedback. Success in this role means independently setting and raising operational standards, working closely with production systems, and collaborating across teams to ensure reliability at scale. Key responsibilities Manage the full lifecycle of infrastructure: provisioning, upgrades, scaling, and decommissioning using Infrastructure as Code (IaC). Operate and scale ClickHouse clusters, including sharding, replication, capacity planning, tuning, and maintenance. Run Kafka as the primary data ingestion layer, improving throughput, managing lag and backpressure, and ensuring robust failure recovery. Improve latency and reliability for workloads involving heavy data serving and querying. Develop and maintain monitoring and alerting systems, including SLIs/SLOs, dashboards, alert policies, and actionable runbooks. Create and refine incident response protocols, on-call procedures, and postmortem practices. Oversee backup, restore, and disaster recovery strategies, including regular drills. Plan and execute safe rollouts across development, staging, and production environments, using canary deployments and rollback plans. Work daily with software engineers to embed reliability into system design, implementation, and release cycles. Set and promote standards for operational readiness and runbooks, encouraging adoption across teams. Enhance CI/CD pipelines and improve the developer experience for greater speed and safety.

Join LinkedIn as a Tech Lead in our Go-To-Market (GTM) Applied AI and Analytics team! In this pivotal role, you will harness your technical expertise and leadership skills to drive innovative solutions that enhance our analytics capabilities and improve customer engagement. You will collaborate with cross-functional teams to design and implement AI-driven analytics tools that empower our clients to make data-informed decisions.

Join Our Team at RoxAt Rox, we are dedicated to empowering individuals to maximize their potential in the workplace.Our innovative platform equips sales professionals with autonomous revenue agents, allowing them to concentrate on their core strengths—selling. Just as coding agents revolutionized engineering, our revenue agents are designed to enhance customer engagements tenfold.We are pioneering the concept of a revenue operating system, transforming the traditional revenue stack from application layers to comprehensive systems of context. With Rox, human roles are evolving into orchestrators while our agents manage the entire customer lifecycle seamlessly.We proudly support Global 2000 leaders across sectors such as banking, hardware, construction, and advanced AI solutions. Our clients include prominent AI innovators like Ramp and Cognition.Our shared commitment to our mission drives our relentless pursuit of excellence in everything we do.

About AirwallexAirwallex stands out as the premier unified payments and financial platform tailored for global enterprises. Leveraging our distinctive blend of proprietary infrastructure and advanced technology, we empower over 200,000 businesses around the globe, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN, with comprehensive solutions to oversee everything from business accounts to payments, spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne, we are proud to have assembled a team of over 2,000 of the most talented and innovative individuals in the tech sphere across 26 global offices. With a valuation of US$8 billion and support from world-renowned investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of revolutionizing the global payments and financial landscape. If you are eager to engage in the most ambitious work of your career, we invite you to join us.Attributes We ValueAt Airwallex, we seek dynamic builders with an entrepreneurial spirit who desire to make a substantial impact and experience accelerated growth. You will bring strong expertise and critical thinking skills, driven by our mission and operating principles. You are quick to act with sound judgment, inquisitive, and able to make decisions based on foundational principles, balancing speed and thoroughness.You possess humility and a collaborative mindset; transforming zero-to-one concepts into tangible products, ensuring that you “get things done” from start to finish. You leverage AI to enhance your efficiency and expedite problem-solving processes. Here, you'll confront complex, high-stakes challenges alongside exceptional colleagues and advance your career as we shape the future of global banking. If this resonates with you, let’s create what’s next together.About the TeamThe Strategic Data Science team equips Airwallex’s Leadership with the necessary data, tools, and insights to amplify our rapid growth trajectory. We collaborate across all business sectors, providing a holistic perspective on what the company should prioritize. Our team’s expertise encompasses the entire data stack, allowing us to tackle intricate data challenges that will define the future of global fintech. The team is expanding swiftly, with members currently located in the US, China, and Singapore.Discover more about the data science team in this blogWhat You’ll DoAs a Staff Data Scientist on the GTM team, you will be instrumental in using data to inform strategic decisions and drive initiatives that enhance our market position and operational efficiency.

Position OverviewJoin OpenEvidence as a Data Infrastructure Software Engineer, where you will engineer comprehensive systems that drive essential product and research operations. Your focus will be on optimizing performance, ensuring scalability, and enhancing accuracy, while enjoying the autonomy to manage the infrastructure that assists healthcare professionals in navigating complex clinical decisions in real-time.We value exceptional creators who thrive in versatile roles. Our engineers engage across various products and projects, taking ownership wherever they can make the most significant impact.About OpenEvidenceOpenEvidence is the leading medical AI platform globally, utilized by over 40% of clinicians in the U.S. in just over a year through organic product-led growth. As a $12 billion company, our engineering team comprises 30 talented individuals from MIT, Harvard, and Stanford. We believe that groundbreaking products are born from a small group of exceptional builders, driven by focused goals and empowered to take ownership and act swiftly. We are expanding our team to capitalize on an unparalleled opportunity to set the standard for medical AI platforms.If you are a top-tier engineer or scientist eager to push the boundaries and achieve tangible outcomes that affect millions of lives, we want to connect with you.Our CultureWe expect our work to be performed at an elite level. The journey from concept to execution and scaling is akin to a professional sport, where excellence is non-negotiable. We believe that the creation of innovative technologies is only achievable through complete ownership. Significant achievements happen when individuals take the initiative to see them through.Your ProfileThis role is not for those seeking a 9-to-5 job or merely looking to write papers. If you are ready to dive into the trenches, tackle challenges head-on, and create something from scratch that could impact millions and drive substantial revenue, you might be the perfect fit.We seek brilliant builders who are intelligent, ambitious, resourceful, self-reliant, detail-oriented, driven, hardworking, and humble. Does this sound rare? It is, as we have only found 30 of them so far, and we are eager to discover more.

Join Alchemy as a Data Analytics Engineer, where you will play a pivotal role in transforming raw data into actionable insights. You will collaborate with cross-functional teams to design, implement, and maintain data pipelines that drive strategic decision-making.Your expertise will help shape the future of our data-driven initiatives, allowing you to contribute to innovative projects that have a tangible impact. If you're passionate about data analytics and thrive in a fast-paced environment, we want to hear from you!

Join Us in Transforming Healthcare AccessibilityAt Assort Health, we are dedicated to revolutionizing healthcare to ensure it is accessible, seamless, and efficient for everyone, anywhere, at any time. Our mission is to foster effortless connections between patients and providers through advanced AI technologies, creating a tailored experience that addresses the complexities of healthcare.As a leading patient experience platform powered by specialty-specific AI, Assort Health eliminates the frustrations of lengthy hold times and communication barriers, enabling patients to receive prompt care. Since our inception in 2023, we've successfully managed over 110 million patient interactions, significantly reducing average hold times from 11 minutes to just 1 minute. Our platform supports thousands of providers, boasting over 98% resolution rates and 99% scheduling accuracy. With an impressive 4.5/5 average patient satisfaction from over 52,000 reviews and a remarkable 20x revenue growth projected for 2025, we are rapidly expanding our impact across the healthcare industry.About the RoleWe are seeking a Founding Data Analytics Engineer to become our first dedicated data hire. In this crucial role, you will oversee all aspects of data analytics, including pipelines, dashboards, and ad-hoc analysis. Your work will directly support our Product, RevOps, Marketing, Finance, and Customer Success teams, while collaborating closely with Engineering and Operations Analysts to build a robust data infrastructure as we scale our operations.Key ResponsibilitiesDevelop and maintain analytics pipelines, data ponds, and schemas that serve as our source of truth.Monitor customer health, generate alerts, and conduct predictive analytics to assess churn risk.Label outcomes and evaluate datasets for our AI agents.Analyze agent funnel performance and prioritize initiatives in collaboration with a Conversation Designer.Create client-facing dashboards and quarterly business review reports using Omni/Looker.Set up experiments, develop new metrics, and make go/no-go decisions using Statsig.Implement ETL pipelines for third-party databases, including EHRs and CRMs.Design systems for long-term agent memory management.Ensure data quality, completeness, and uptime across all systems.And more — we welcome your ideas!

Role Overview Notion Labs Inc. is hiring a Data Engineer focused on People Analytics in San Francisco, California. This position centers on building data solutions that help the company understand workforce trends and support people-focused initiatives. What You Will Do Work with teams across the company to gather requirements for people analytics projects. Design data models tailored to workforce and HR data. Develop and maintain ETL processes to ensure reliable, high-quality data pipelines for people-related analytics. Impact Your data engineering skills will help Notion gain deeper insights into workforce dynamics and contribute to improving the employee experience.