Principal Analytics Engineer

Toast is revolutionizing the restaurant industry by providing cutting-edge technology designed to empower restaurants and local businesses in a digital landscape. Our solutions enable business owners to streamline operations, boost sales, engage customers, and enhance employee satisfaction. About Toast At Toast, we are committed to building a comprehensive restaurant platform that equips establishments to adapt, take control, and thrive in a competitive market. The Customer Success (CS) organization is integral to our mission, ensuring that customers maximize the value of our products while we enhance our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is central to this transformation, designing the data infrastructure that enables proactive, data-informed engagement across approximately 150,000 restaurant locations. Role Overview Join us as a foundational member of a newly established data engineering function within Customer Success. You will have the unique opportunity to influence the architecture, tools, domain model, and team culture from inception. This is a rare chance to create something from the ground up, with direct visibility to VP and senior CS leadership. As an Analytics Engineer on the Customer Success Data & Analytics team, you will connect raw data to actionable business insights. You will develop the semantic layer, dbt models, and analytics datasets that drive reporting, dashboards, and AI-enhanced workflows throughout the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Engineers, Analysts, and CS operations leaders to ensure that data is not only available but also reliable, consistent, and primed for decision-making. This hands-on role focuses on data modeling, metrics standardization, and analytics infrastructure, directly contributing to CS outcomes like customer retention, agent performance, and proactive customer engagement. A Day in the Life (Responsibilities) Develop and manage dbt models that convert raw CS source data from platforms like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across various CS domains, including Customer 360, case management, omnichannel interactions, and agent performance. Design and oversee the semantic and metrics layer for critical CS KPIs, such as customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring uniform definitions across all reporting channels. Collaborate with CS analysts and business stakeholders to translate reporting requirements into reusable and well-documented data models. Implement data testing, validation, and observability frameworks to ensure data accuracy and reliability.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Join Coupa Software as a Lead Analytics Engineer, where you will play a critical role in driving data-driven decision-making across the organization. You will lead a team of analytics professionals, working collaboratively to develop and implement advanced analytical solutions. Your expertise will help transform complex data into actionable insights, ultimately contributing to the company’s success.

Klaviyo is looking for a Senior Analytics Engineer based in Boston, MA. This position centers on building analytics solutions that help guide marketing and product decisions throughout the organization. Key responsibilities Create analytics tools and models that enable data-driven choices Collaborate with teams to refine marketing and product strategies using insights from data Use analytics expertise to address complex business challenges and deliver measurable results Role focus This role plays a vital part in shaping how Klaviyo uses data to inform decisions and improve outcomes across departments. The Senior Analytics Engineer will work hands-on with data, partnering with teams to turn insights into action.

About the RoleJoin Parallel Fluidics as we innovate the infrastructure powering the future of life science tools. As the Principal Mechanical Engineer, you will spearhead our most vital engineering initiatives, establish benchmarks for technical excellence, and influence the processes that guide our product development and manufacturing. We seek an experienced engineering leader with extensive knowledge in electromechanical system design, design for manufacturing, and automation. If you are passionate about making a significant impact by transforming groundbreaking products from concept to production in a fast-paced startup environment, we encourage you to apply.Key ResponsibilitiesEngineering LeadershipAct as the principal architect of the engineering processes at Parallel Fluidics.Lead critical engineering projects that align with our mission.Serve as a technical expert for various internal projects.Identify and implement improvements to our engineering systems and tools.Mentor junior and senior engineers across various disciplines.Provide progress reports and insights to company leadership.Product DevelopmentOversee the transition of Parallel’s next-generation hardware products from concept to scalable production.Identify and evaluate potential high-volume manufacturing partners.Facilitate the transfer of high-volume products from in-house production to third-party manufacturers.Manufacturing SystemsIdentify opportunities to enhance our in-house designed manufacturing equipment.Design experiments and testing methods to optimize manufacturing processes.Collaborate with the manufacturing team to pinpoint gaps and explore improvement opportunities.

At Veeva Systems, we are driven by our mission to accelerate the delivery of therapies to patients through innovative cloud solutions tailored for the life sciences sector. As one of the fastest-growing SaaS companies ever, we achieved over $2 billion in revenue last fiscal year, with significant growth prospects on the horizon.Our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide us in every endeavor. In 2021, we made history by becoming a public benefit corporation, which legally commits us to balance the interests of our customers, employees, society, and investors.Embracing flexibility, we operate as a Work Anywhere company, allowing you to choose your optimal work environment, be it from home or in the office.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.The RoleThe Analytics Business Consulting Team plays a pivotal role in assisting our clients by crafting and implementing data-driven analytics solutions to tackle the fundamental challenges faced by life sciences organizations today. We ensure the effective enablement and adoption of products aligned with Veeva Data Cloud.As a Principal Business Consultant in Analytics, your focus will encompass the following key areas:- **Customer Engagement**: Identify the root causes of business challenges and utilize industry data and analytics to deliver impactful solutions that drive successful outcomes.- **Department Growth**: Acquire new clients while nurturing and expanding our existing customer base, thereby enhancing the Analytics team’s footprint and contributing to overall business growth.- **Delivery Success**: Lead delivery teams managing analytics programs ranging from $100K to $2M, ensuring customer success and fostering critical relationships through effective project delivery.- **Building the Right Team**: Recruit and mentor junior resources, contributing to the growth of the analytics consulting team while providing hands-on guidance in areas of your expertise.Your success in managing projects, developing a robust pipeline, and expanding the team will be instrumental in maintaining a thriving business. Collaborate with cross-functional teams at Veeva to build enduring relationships with customers across various accounts.

Role Overview Klaviyo is hiring a Software Engineer II focused on Analytics Data Engineering in Boston, MA. This position centers on building and maintaining data systems that support analytics across the company. What You Will Do Work with teams from different disciplines to design and implement data pipelines. Create scalable solutions that help drive data-informed decisions throughout Klaviyo. Use modern technologies to support analytics initiatives and improve data infrastructure.

Acadian Asset Management LLC is seeking a Principal Engineer for its Investment Systems group in Boston, Massachusetts. This position centers on building and improving investment systems that support the firm’s client needs. Role overview The Principal Engineer will design solutions for complex investment challenges. The role involves both developing new features and refining existing systems to ensure they align with client requirements. Collaboration Working with teams across the organization, this engineer will contribute technical expertise and help guide technology choices within the investment domain. Key responsibilities Develop and enhance investment systems to address client needs Design solutions for technical and business challenges in investment management Collaborate with cross-functional teams to advance technology within the firm

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing innovative motion planning and control systems that ensure the safe, efficient, and comfortable operation of our autonomous fleet in intricate environments. We seek an individual with a strong background in advanced algorithm development and robust software engineering, committed to shaping production-ready autonomous vehicles. If you are passionate about autonomous driving and enjoy tackling real-world challenges in a dynamic field, we welcome your application.Key Responsibilities:Lead the research and development of groundbreaking algorithms and subsystems for motion planning within autonomous driving, enhancing the Operational Design Domain. This encompasses advanced search-based and geometry-driven methods, alongside decision-making under uncertainty, with a focus on probabilistic techniques.Oversee cross-functional initiatives to create or enhance interfaces aimed at solving complex problems.Continuously monitor system performance to pinpoint areas for enhancement and formulate technical strategies to address shortcomings.Guide cross-functional project teams to deliver comprehensive solutions, showcasing the ability to think beyond the planning system's limitations.Architect and integrate sophisticated motion planning and prediction algorithms, leading their assessment and optimization for real-world applications.Design and develop a resilient, scalable, and high-performance codebase that enables rapid exploration, prototyping, and thorough evaluation of new motion planning methodologies and algorithms.Facilitate technical collaboration and ensure seamless integration with upstream perception and prediction components, as well as downstream trajectory optimization, tracking, and control systems, guaranteeing optimal end-to-end system performance.Utilize your extensive software development and research expertise to mentor others in best software practices, fostering a culture of technical excellence.Mentor junior and senior team members, promoting a culture of product-focused engineering, rigorous research, and advanced development.

About SimpliSafe At SimpliSafe, we are at the forefront of high-tech home security, driven by our mission to safeguard every home. We have cultivated a culture that not only cherishes the safety of our clients but also values the career development of our team members. In our no-ego environment, collaboration and innovation thrive, creating ample opportunities for those ready to face new challenges and make a significant impact on the lives we protect. We don’t just want you to work here; we want you to flourish. Our hybrid work model allows our teams to balance office and home working seamlessly. Expect to collaborate in our state-of-the-art Boston office on two core days—typically Tuesday, Wednesday, or Thursday—while enjoying the flexibility to choose your workspace for the remaining days. This approach allows us to harness the benefits of both environments to optimize productivity. Why We Are Hiring We are expanding our Tools and Automation organization, specifically within the Test Platform Services (TPS) team. TPS is responsible for building and managing the platforms and automation that validate the comprehensive SimpliSafe ecosystem, which includes connected cameras, sensors, base stations, firmware, cloud services, monitoring workflows, and mobile applications. Our goal is to enable scalable, production-like validation across hardware, firmware, and distributed software systems. This ensures our devices perform accurately in real-world conditions and that essential customer journeys operate reliably before they are deployed to production. We are on the lookout for a Software Engineer who can lead the technical vision for TPS while managing a team of engineers. This position merges hands-on architectural responsibilities with leadership and mentorship, offering a unique opportunity for those looking to make a significant impact. This role is highly collaborative, requiring close partnerships with Infrastructure, Backend, Firmware, and Monitoring teams to ensure our validation platforms evolve in line with product and system complexity. It’s perfect for a leader who wishes to stay technically involved while shaping a high-performing engineering team dedicated to validating complex, distributed systems at scale. Your Responsibilities Establish and implement the long-term architectural vision for scalable validation platforms, with a focus on automation, performance, and resilience testing capabilities. Collaborate cross-functionally with Infrastructure, Backend, Firmware, Monitoring, and Product teams to ensure alignment of validation systems with product architecture, roadmaps, and business objectives. Guarantee that virtual devices and simulation systems accurately represent real-world hardware behavior, minimizing discrepancies between physical and virtual environments.

Join Nagarro as a Principal Engineer - Project Manager specializing in Salesforce, where you'll lead innovative engineering projects and manage cross-functional teams to deliver exceptional solutions. Your role will involve strategic planning, resource allocation, and continuous improvement initiatives, ensuring alignment with client objectives and industry standards.

Overview - We are on the lookout for a talented Analytics Engineer to spearhead the data foundations that empower our go-to-market (GTM) teams. Your role will involve constructing reliable data models, shaping key metrics, driving automation, and transforming raw data into actionable insights and data products that enhance Sales and Customer Success.Why Choose Lovable?At Lovable, we empower individuals and organizations to build software using any programming language. From solo entrepreneurs to teams at Fortune 100 companies, millions rely on Lovable to transform innovative ideas into tangible products swiftly. We are pioneers in a fundamental shift in software development, offering you a unique opportunity to reshape the digital landscape. With over 2 million users across 200+ countries, Lovable is facilitating business launches, automating workflows, and bringing creative visions to life. And this is just the beginning.Our team is small but exceptionally skilled, dedicated to building a transformative company. We value extreme ownership, rapid execution, and collaborative teamwork. We seek passionate individuals who are eager to make a significant impact on the world.Desired Candidate ProfileWe invite applications from Analytics Engineers with a background in Data Engineering or Analytics Engineering, who can act as comprehensive analysts, responsible for everything from raw data to insightful operationalization.Ideal candidates will possess:Proficient SQL skills and analytical data modeling experience (preferably with dbt or SQLMesh).Experience with ELT/ETL processes and cloud data warehouses (such as Snowflake, BigQuery, Redshift, Databricks).Familiarity with Python for automation and basic data engineering tasks.Experience in creating dashboards, utilizing BI tools, and enabling self-service analytics.Excellent communication skills, the ability to collaborate effectively, and a comfort level in ambiguous situations.Bonus: Experience with AI/LLM products, instrumentation, experimentation, or in startup environments.Key ResponsibilitiesCollaborate with Sales and Customer Success on data reporting needs; transform ambiguous business inquiries into structured data models, analyses, actionable insights, and data-driven products.Develop and uphold data warehouse models that serve as the definitive source for product usage and GTM metrics.Model CRM data, usage data, and billing data to enable Sales and Customer Success automation, CRM enrichment, lead definition, and GTM tooling.Design metrics, dashboards, and data user interfaces using Hex and Lovable for GTM leadership.

About LogRocketFounded in 2016, LogRocket is dedicated to enhancing web experiences. We tackle the significant challenge faced by product managers and developers in comprehending user interactions. Our unique platform offers unparalleled insights into user experiences through precise replays of sessions combined with detailed logs, errors, and network activity. Our impressive client list features over 2,800 customers, including ClassPass, Capital One, Cisco, and Rippling. We pride ourselves on crafting quality software, and our engineering blog posts reflect our commitment to excellence.Supported by esteemed investors such as Matrix Partners, Battery Ventures, and Delta-V Capital, we have successfully raised $55M in funding. We are actively seeking talented individuals to join us in our mission to enhance the way society interacts with software.

Veeva Systems is a trailblazer in the industry cloud space, dedicated to accelerating the delivery of life-saving therapies to patients. As one of the fastest-growing SaaS enterprises in history, we achieved over $2 billion in revenue last fiscal year, with tremendous growth prospects ahead.At Veeva, our core values guide us: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a typical public company; in 2021, we made history by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we embrace flexibility, allowing you to thrive in an environment that suits you, whether at home or in the office.Join us in transforming the life sciences industry, where we are committed to making a positive impact on our customers, employees, and the communities we serve.

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

Acadian Asset Management is a pioneering global systematic investment manager, leading the way in data-driven investing since 1986. Our headquarters in Boston is complemented by offices in Singapore, London, and Sydney, where we manage over $170 billion for esteemed institutions worldwide, including pension funds, endowments, foundations, and sovereign wealth funds. Our mission is to leverage cutting-edge technology, extensive datasets, and multidisciplinary expertise to empower clients in navigating complex markets and uncovering insights often overlooked by traditional methods.What truly distinguishes Acadian is our people. We cultivate a collaborative and intellectually stimulating environment that encourages the testing of ideas, welcomes diverse viewpoints, and fosters innovation. Together, we share a commitment to achieving optimal client outcomes and providing support to one another in our challenging yet rewarding work. Our flexible hybrid work model, comprehensive benefits, and a relaxed yet focused office culture are all designed to support the meaningful and collaborative work that defines Acadian. Position Overview:The Principal AI Engineer serves as a senior technical leader, tasked with defining, designing, and delivering enterprise-level AI platforms and solutions throughout the organization. This role encompasses full ownership of the firm’s AI architecture, covering agentic systems, retrieval-augmented generation (RAG), model integration, evaluation, security, and operationalization. In this hands-on architectural role, the Principal AI Engineer collaborates closely with investment teams and leaders across engineering, data, security, risk, and the broader organization. This position aligns diverse requirements and perspectives into effective solutions that drive innovation and success.

At Veeva Systems, we are dedicated to transforming the life sciences industry, enabling companies to expedite the delivery of essential therapies to patients worldwide. As a trailblazer in industry cloud solutions, we proudly achieved over $2 billion in revenue last fiscal year, with immense growth opportunities on the horizon.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—drive everything we do. In 2021, we made history by becoming a public benefit corporation, committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we empower you to choose your ideal work environment, whether from home or in the office, to foster your success and well-being.Your RoleWe are looking for a Principal Full Stack Engineer who will play a pivotal role in developing scalable cloud software that accelerates the innovation and distribution of critical medications and treatments globally. In this senior position, you will leverage your extensive technical expertise to create software that adapts with new features and capabilities, while also enjoying autonomy in directing project developments. You will serve as a mentor to junior engineers and collaborate closely with product leadership, significantly influencing our product strategy.

Join our innovative Behaviors team focused on Prediction and Machine Learning Planning at Motional, where you will collaborate with leading ML engineers dedicated to transforming self-driving vehicles into a reality and making a positive impact on society. Our team develops advanced machine learning models that understand how various agents navigate intricate, real-world traffic environments. These models are pivotal in directing the behavior of our autonomous vehicles while also predicting the actions of other entities like vehicles and vulnerable road users. We are on the lookout for exceptional leaders and technical specialists who are deeply passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and seek to advance your career within a rapidly growing organization, we want to hear from you!

Mission Overview: As a Principal Engineer and Technical Lead at Motional, you will spearhead a dynamic team dedicated to creating and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. You will play a pivotal role in designing the motion planning and control systems that empower our fleet to navigate through intricate environments with safety, efficiency, and comfort. As a vital leader, you will not only enhance the development and performance of innovative trajectory generation algorithms but also collaborate with multidisciplinary teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers to deliver cutting-edge solutions. If you are enthusiastic about autonomous driving and wish to contribute to our commercial launch this year, enjoy tackling challenging real-world problems, and are eager to make a profound impact in a rapidly evolving domain, we invite you to connect with us! Your Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization. Prepare for commercial launch readiness by enhancing on-road driving behavior (safety, comfort, assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovative methodologies. Utilize a systematic, metrics-driven approach to measure and enhance on-road performance. Advocate for the use of existing training and evaluation pipelines to ensure scalable, production-ready delivery. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency budgets. Direct the swift triage and root-cause analysis of critical fleet incidents, translating real-world edge cases into immediate algorithmic enhancements and validation sets. Manage the successful execution of complex, multi-team projects, ensuring technical alignment from design to deployment while upholding a rigorous standard for testing and validation to meet the high safety benchmarks required for our commercial launch. Collaborate with peer leads to provide technical leadership, making crucial decisions regarding architectural direction, strategic investments, tactical execution, and technical debt reduction. Ensure technical excellence through thorough design and code reviews, while actively fostering the professional growth and mentorship of your engineering team. Set and pursue ambitious goals that inspire the team to deliver industry-leading trajectory solutions.

Mission Overview: Join us as a distinguished Staff/Principal Engineer specializing in Perception Capabilities, where you will spearhead the development of innovative software solutions leveraging advanced computer vision and deep learning technologies. Your extensive experience will encompass key areas such as detection, classification, segmentation, and tracking, alongside critical support functions, including data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You are motivated by the tangible impact of your work, taking initiative and ownership of outcomes. In this role, you'll have the opportunity to apply your expertise to the perception stack of autonomous vehicles, navigating the unique challenges inherent in safety-critical, open-world applications while ensuring engineering excellence and thorough evaluation. As a creative problem solver, you'll collaborate with interdisciplinary teams focused on capability enhancement to design, implement, and validate comprehensive solutions.