Data Analytics Engineer - Innovative Solutions at Alchemy

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 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 our dynamic team at Lever as we redefine the landscape of talent acquisition. We are seeking an Innovative Solutions Engineer to help us in our mission to build cutting-edge hiring software utilized by industry leaders like Netflix, Yelp, and Spotify.Lever, founded a decade ago, is at the forefront of transforming how companies recruit and hire top talent. Our commitment to innovation has earned us recognition as the #1 workplace in San Francisco and a top company to work for across the United States. We pride ourselves on our people-first culture and the competitive advantage our talented team brings to our organization.

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.

Join Mixpanel as a Senior Engineering Manager focused on Data Solutions! In this pivotal role, you will lead a talented team of engineers in designing and implementing innovative data solutions that empower organizations to make data-driven decisions. You will be instrumental in shaping our engineering practices, driving technical excellence, and fostering a culture of collaboration and continuous improvement.As a Senior Engineering Manager, you will collaborate with cross-functional teams to define strategic goals and ensure alignment with product and engineering objectives. Your leadership will guide the team in delivering high-quality data products while mentoring and developing engineers to reach their full potential.

Our MissionAt Alchemy, our goal is to democratize access to web3 technologies, empowering builders with the essential tools to create outstanding on-chain products. As the only comprehensive developer platform, we provide robust APIs, SDKs, and other resources necessary for developing and scaling on-chain applications and rollups.Our infrastructure supports 70% of leading web3 teams, more than 90% of web2 companies venturing into web3, and over 100 million end users. Our clientele includes prominent web3 brands such as Polymarket, OpenSea, Circle, and WorldCoin, alongside esteemed global companies like Shopify and Adobe.The Alchemy team comprises experts with extensive backgrounds in scalable infrastructure, artificial intelligence, and blockchain technology, having held leadership positions at renowned organizations and academic institutions including Google, Microsoft, Facebook, Stanford, and MIT.We are proud to be backed by top-tier venture capital firms and institutions, including Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab.About The RoleWe are searching for a passionate Growth Product Manager to drive the next stage of Alchemy's expansion. This role is high-impact and offers significant autonomy at the crossroads of product development, engineering, and market strategies. With our innovative AI agent platform, we enable autonomous software to create wallets and process API payments in real-time, paving the way for a new category of users to acquire, activate, and retain.You will provide clarity in ambiguous situations, act swiftly, and create solutions that yield compounded results. You will have complete ownership of the growth strategy, experimentation processes, and performance metrics. Additionally, you will have direct access to leadership, high visibility across the organization, and the resources necessary to achieve meaningful impact.What You'll DoOversee the entire growth funnel — establish the strategy, set the metrics, and drive acquisition, activation, retention, and expansion on our developer platform.Identify and build mechanisms that transform excellent developer experiences into organic growth through referrals, word-of-mouth, community engagement, and virality.Instrument the product deeply to analyze developer conversion points, drop-off locations, and key performance drivers.Implement a rapid experimentation program featuring quick A/B tests, clear hypotheses, and a relentless pursuit of effective strategies.Uncover new growth avenues: SEO, lifecycle management, partnerships, and product-led growth initiatives, determining which approaches yield the fastest returns at scale.Explore entirely new growth opportunities by recognizing AI agents as primary users of developer platforms, and develop strategies to effectively acquire, activate, and retain these users.

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.

Alchemy is seeking a dynamic and visionary Head of Go-To-Market Strategy to spearhead our market entry initiatives and drive growth across multiple regions. As a pivotal member of our leadership team, you will develop and execute comprehensive strategies that align with our business objectives, leveraging data-driven insights to optimize performance.Your role will involve collaborating closely with product, sales, and marketing teams to ensure a unified approach to market challenges. You will be responsible for identifying new market opportunities, establishing strategic partnerships, and enhancing our overall market presence.

About the CompanyBraintrust is at the forefront of AI observability. By seamlessly integrating evaluations and observability in a unified workflow, Braintrust empowers developers with the insights necessary to comprehend AI behavior in production and provides tools to enhance it.Renowned teams from Notion, Stripe, Zapier, Vercel, and Ramp utilize Braintrust to analyze models, test prompts, and detect regressions, transforming production data into superior AI with every iteration.About the RoleWe are seeking a highly skilled and proactive data professional to take charge of our data infrastructure and pipeline. This individual will possess extensive technical expertise in data engineering and the initiative to address challenges throughout the entire data stack. If you excel in problem-solving, are eager to learn new technologies, and take action without waiting for approval, this position is perfect for you.What You'll DoDevelop and maintain robust data pipelines that drive our analytics and business operations.Oversee our Snowflake and dbt infrastructure—managing data warehouse architecture, optimizing performance, and ensuring clean, well-documented models.Establish and troubleshoot data connectors across diverse sources and systems.Provide rapid analytics and dashboards to address business inquiries.Facilitate collaboration and communication to remove obstacles through coding or teamwork.Experiment with new tools and technologies, even those you haven't previously encountered.What We're Looking ForProven track record in data engineering—your portfolio is as important as your years of experience.In-depth knowledge of Snowflake, dbt management, and various data connectivity solutions.Comfortable with setting up data connectors, generating quick analytics, and crafting dashboards across the data stack.Exhibit high agency—identify issues, propose solutions, and deliver results independently.Skilled in unblocking yourself and others through effective communication and collaboration or by diving into code.Willing to explore uncharted territories, tackling new challenges head-on.Adaptable to ambiguity and adept at navigating problems as they arise.Benefits IncludeMedical, dental, and vision insurance401k

At Discord, we're more than just a communication platform. With over 200 million active users each month, we empower communities to connect and engage, especially in the world of gaming. Our platform supports more than 90% of users who love gaming, contributing to an astonishing 1.5 billion hours spent in our environment every month. As we shape the future of gaming, we're committed to enhancing the social experience of gaming by making interactions before, during, and after gameplay seamless and enjoyable.Join Our Team! Discord is on the lookout for a dedicated and innovative Data Engineer to be a pivotal part of our Data team! In this role, you will collaborate extensively with our Data Science and Engineering teams to create and maintain crucial high-leverage datasets that drive our analytical tools, models, and overall strategies. Your contributions will directly influence how we identify opportunities for growth, measure our success, and make informed decisions across various teams, including our safety and growth initiatives. If you are excited about leveraging data to create impactful solutions and thrive in a collaborative environment, we would love to hear from you!

About UsAt Speak, we are on a mission to revolutionize language learning.Learning a new language can transform lives, unlocking opportunities in diverse cultures and careers. With two billion individuals striving to master a language, traditional one-on-one tutoring remains out of reach for many and hasn’t evolved significantly in decades. At Speak, we are developing an AI-powered, human-like tutor that fits in your pocket, providing a conversation-first experience that encourages learners to speak, receive immediate feedback, and progress through meticulously crafted lessons. The outcome is a comprehensive journey from novice to fluent speaker across numerous languages.Since our inception in South Korea in 2019, Speak has ascended to become the leading language learning app, now catering to learners across multiple markets in over 15 languages. As one of the world’s foremost AI companies, we have secured over $150 million in venture funding from partners such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a globally distributed workforce spanning San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.In the role of Head of Data & Analytics, you will architect and lead a premier data organization that fuels product innovation, growth strategies, and data engineering initiatives at Speak. You will craft and implement a comprehensive strategy that ensures data-driven decision-making across the organization, enhancing our infrastructure, improving data accessibility, and driving tangible business results for millions of learners worldwide.

About FaireAt Faire, we are reshaping the future of local commerce through our innovative online wholesale marketplace. We empower independent retailers worldwide, who collectively generate more revenue than giants like Walmart and Amazon, yet often struggle to compete individually. By leveraging cutting-edge technology, data, and machine learning, we connect a vibrant community of entrepreneurs, helping them discover unique products to enhance their offerings. Our mission is to provide these businesses with the tools and insights needed to thrive in a competitive landscape dominated by large corporations.By fostering the growth of independent businesses, Faire drives positive economic change in local communities globally. We seek driven, smart, and passionate individuals who share our commitment to supporting local economies. If you value community and innovation, we invite you to join our dynamic team.About This RoleAs a member of our Engineering team, you will play a pivotal role in building the software that powers our marketplace. The Platform group provides essential support to various teams across Faire, including Product Engineering, Data Science, Product Management, Strategy, and Finance, allowing them to excel without worrying about the underlying infrastructure. We prioritize rapid development and high-quality software, upholding best practices in engineering, security, maintainability, and scalability to serve millions of users effectively.In this position, you will be a key technical leader in the data domain, influencing multiple Platform and Product teams.Within the Platform group, you will collaborate with:The Data Infrastructure team, responsible for creating a secure, reliable, and cost-efficient platform for data ingestion, storage, computation, orchestration, and governance.The Analytics Platform team, which develops robust data warehousing capabilities and foundational data assets to facilitate swift, data-driven analytics.This role also involves engaging with technology infrastructure vendors and interacting with all data and analytics functions at Faire, ensuring the seamless integration of product analytics engineering for actionable insights.

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.

Omni develops an AI analytics platform designed to make company data reliable and accessible. The platform combines a semantic model, shared metrics, and Git-based governance to create a context graph for enterprise use. With this foundation, users can query data in plain English, integrate AI agents, and incorporate Omni’s intelligence into daily workflows. Headquartered in San Francisco, Omni serves customers across EMEA and APAC. The company has secured $97 million in funding from investors such as Google Ventures, Snowflake, Databricks, and ICONIQ. Role overview The Senior Pre-Sales Solutions Engineer will become deeply familiar with the Omni platform, guiding customers as they explore and maximize the value of their data. This role involves working directly with a diverse client base, understanding their industries, and uncovering new use cases through practical engagement. Advocating for users and relaying insights from the field to influence product development are also central responsibilities. What you will do Collaborate with the sales team to provide technical expertise during the sales cycle, identifying and validating use cases that demonstrate Omni’s value. Build and deliver Proofs of Concept within the Omni platform, helping prospective customers work with their own data during evaluations. Facilitate smooth handoffs from trials to ongoing customer relationships by working with post-sales teams and partners to ensure continued support. Work closely with Product, Design, and Engineering teams, sharing user feedback to help shape product direction. Requirements Minimum 7 years of experience in data analytics or technical pre-sales roles. Strong SQL skills, especially for analytics work. Experience in client-facing positions and a collaborative approach with customers. Excellent consultative communication skills with both technical and non-technical stakeholders. Genuine interest in data and a desire to teach and support others. Motivation to keep learning and developing professionally. Experience with business intelligence or enterprise data analytics tools is a strong advantage. Location This role is based in Australia.

At Perplexity, we believe in harnessing the power of AI to exceed expectations. This role is pivotal in ensuring our data team embodies that philosophy, placing AI at the core of our operations.We seek an exceptional individual with a strong background as a data scientist, analytics engineer, or data engineer. You are the type of professional who understands which metrics hold true significance, can design insightful A/B tests, and delve into data models to uncover discrepancies. Importantly, you recognize that your highest impact opportunity lies in creating AI systems that revolutionize the practice of data science.This is not about developing another text-to-SQL bot or merely producing another dashboard. Instead, you'll create AI agents capable of performing comprehensive analyses autonomously – generating hypotheses, executing queries, interpreting outcomes, and crafting actionable recommendations. Your work will ensure that our entire data warehouse is AI-accessible, enabling any system to query it with precision. You'll engineer self-correcting pipelines that identify and resolve data issues proactively. Your contributions will empower a lean data team to operate with the efficiency of a much larger organization.Join a forward-thinking data team that already integrates AI into its processes, yet recognizes the vast potential that lies ahead. With full support from leadership, we are committed to transforming our initial efforts into a world-class framework: scalable systems, innovative tools, and an AI-first approach that not only elevates our status but also propels the industry forward.What You'll DoEnhance the AI-driven data workflow - Building on existing successes, you will establish repeatable systems and scalable tools that the data team and the broader organization can adopt.Create AI agents for data science - Your focus will be on developing agents that not only handle SQL inquiries but also manage end-to-end analyses: exploring data, formulating hypotheses, executing queries, interpreting results, and delivering actionable insights.Make the data warehouse AI-friendly - Design the semantic layers, context, and retrieval systems that enable any AI platform (internal or external) to query Perplexity's data effectively and reliably.Automate the data lifecycle - Implement self-healing pipelines, automated dbt model creation and validation, and data quality agents that autonomously detect and resolve issues.Deliver AI-enhanced experiment analysis - Develop agents capable of interpreting A/B test results, identifying statistical anomalies, and providing thoughtful insights.

At Discord, we are at the heart of gaming culture, connecting over 200 million users each month who come together to play video games. With over 90% of our community engaged in gaming, they spend a staggering 1.5 billion hours each month immersed in thousands of unique titles. As we continue to innovate, we strive to enhance the gaming experience by facilitating seamless communication and interaction before, during, and after gameplay.We are seeking dedicated and skilled Senior Data Engineers to join our dynamic Data team. Our data infrastructure is pivotal in driving insights across the organization, and we need passionate individuals who can construct foundational datasets and pipelines that empower data-driven decision-making at scale. In this role, you will develop the analytical framework that supports product development, experimentation, and machine learning initiatives, ultimately enhancing user experiences on Discord.As a Data Engineer at Discord, you will collaborate closely with data science and engineering teams to build and maintain high-leverage datasets that fuel tools, analyses, and models. The datasets you create will inform our strategies for identifying opportunities, measuring success, and making critical decisions. We are hiring across several verticals, including Engagement, Growth, and Safety. If you are excited about designing elegant data systems that deliver insights to millions of users, we want to hear from you!

Founded in 2007 when two hosts welcomed three guests into their San Francisco home, Airbnb has evolved into a global community of over 5 million hosts, facilitating more than 2 billion guest arrivals across nearly every country. Our hosts provide unique stays and experiences, allowing guests to forge authentic connections with diverse communities.Join Our Community:At Airbnb, our Foundational Data team is dedicated to creating and maintaining high-quality datasets that serve as the backbone for various operations across the organization. We establish company-wide standards that define how locations are categorized, how visitor traffic is analyzed, and how cloud costs are allocated. This critical data informs public financial reports, shapes strategic marketing initiatives, and helps manage operational expenses. By working collaboratively with cross-functional teams, you will be positioned to drive substantial business outcomes.Your Impact:As a Senior Staff Analytics Engineer, you will play a pivotal role in shaping our data strategy while providing advanced technical mentorship and leadership to your peers. We seek an individual with a strong background in data modeling, metric development, and experience with large-scale distributed data processing frameworks such as Presto or Spark. Utilizing our state-of-the-art data tools, you will empower both technical and non-technical teams to leverage data-driven insights for informed decision-making. Staff engineers are expected to operate with a high degree of autonomy, and we value innovative thinkers who are committed to finding smarter, more efficient solutions while effectively managing daily operations and meeting deadlines.Daily Responsibilities:Create high-quality data assets that address a diverse range of business needs.Develop frameworks and tools that enhance insight generation to meet essential business and infrastructure demands.Build and nurture strong partnerships with fellow data professionals throughout Airbnb.Influence data-driven decision-making processes.Enhance trust in our data by advocating for quality across the data lifecycle.Contribute to best practices for event logging instrumentation and participate in architectural designs.

About DecagonDecagon stands as a pioneer in the conversational AI landscape, empowering brands to craft exceptional concierge customer experiences.Our innovative technology enables leading enterprises, including Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, to implement AI agents that facilitate personalized and enriching interactions across diverse channels such as voice, chat, email, SMS, and more.We envision a future where customer experiences are transformed from mundane support interactions to swift resolutions, engaging conversations, and meaningful relationships. Proudly backed by a consortium of world-class investors, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, we share a unified vision for innovation.As an in-office organization, we are united by a commitment to excellence and speed. Our core values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — guide our teamwork and growth.About the Role:In the role of Director of Data & Analytics, you will spearhead the establishment of a top-tier data team that drives strategic decision-making through insightful analytics. Your contributions will significantly shape how data is collected, structured, and utilized across the organization. Collaborating closely with executives, Product, Engineering, GTM, and G&A teams, you will uncover significant trends related to strategic initiatives, product analytics, and overall business performance. This unique opportunity allows you to create modern, scalable analytics systems and develop impactful data insights for a rapidly evolving team.Your Responsibilities Include:Overseeing business intelligence reporting across the organization, including the development of dashboards to monitor ongoing KPIs and performing ad-hoc analyses to explore critical questions.Collaborating with cross-functional teams to grasp business priorities and orchestrate the data pipeline necessary for delivering essential data-driven insights.Assisting in the design and tracking of OKRs, visualizing data, and analyzing performance to ultimately influence strategy and roadmaps.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.