Field Sales Team Leader at Whizz | San Francisco

At Whizz, we are revolutionizing the delivery landscape by offering reliable and cost-effective electric bicycle solutions. Our mission is to deliver the most affordable transport solutions in history, emphasizing customer care and prompt issue resolution. By simplifying sign-up and usage processes, we empower our riders to earn more, remain safe, and enhanc…

Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cloud delivery, modern technology stacks, machine learning, and meticulously crafted native app experiences across all our platforms. Our goal is to provide a seamless streaming experience while pioneering next-generation multi-screen and multi-user playback functionalities. The Importance of Data at Philo Data is at the core of everything we do at Philo. It informs our business strategies, enhances our streaming quality, supports product experiments for optimizing user journeys, and simplifies the process for users to discover the perfect content. With over a billion streams delivered annually, our data generates immense value across the organization. Philo's data platform operates at a massive scale, processing trillions of events each year within a petabyte-scale data lake and facilitating thousands of analytical queries that drive decision-making throughout the company. Our Data Engineering team integrates both data engineering and analytics engineering. As a Senior Analytics Engineer at Philo, you will lead the data modeling layer that transforms raw event and application data into reliable, clean data products that the entire company depends on—ranging from metric definitions and dimensional models to a governed semantic layer ensuring consistent metrics for all. You will collaborate closely with data scientists, analysts, and business stakeholders to comprehend their analytical needs and translate them into well-structured, well-documented, and efficient data products using dbt and Snowflake. We are dedicated to delivering a high-quality, trustworthy data platform for the entire organization, employing both cutting-edge technologies and established engineering practices in close cooperation with all departments. Our analytics engineering stack is centered around dbt and Snowflake, enhanced by tools such as Segment, Avo, and BigEye, which facilitate event tracking, data quality, and observability. Recent projects undertaken by our analytics engineers include the development of new models for vital financial data, dbt model design and refactoring, metric definition and governance, cost optimization per query in Snowflake, and the establishment of data quality testing and documentation frameworks. About the Role We are seeking a Senior Analytics Engineer to take ownership of our analytics initiatives...

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

Join Benchling as an Infrastructure Engineering Leader and play a pivotal role in shaping our engineering practices. We are seeking an innovative leader to oversee our infrastructure development, driving efficiency and scalability. This position offers an exciting opportunity to work with cutting-edge technologies and lead a talented team in a dynamic environment.

About WhizzAt Whizz, we are revolutionizing the delivery sector with our innovative and cost-effective electric bicycle solutions. Our mission is to offer the most affordable transportation options in history, prioritizing customer satisfaction and community well-being. With a user-friendly sign-up process and competitive pricing, we empower our riders to earn more, stay safe, and foster meaningful connections within their communities.As the leading e-bike subscription service in the U.S., we are committed to expanding our impact and reach.Your RoleIn the capacity of Sales Team Leader, you will spearhead our sales initiatives, guiding and inspiring our team to promote Whizz’s e-bike services to an expanding rider base. Your leadership will be pivotal in training, mentoring, and motivating the team to exceed ambitious sales targets while establishing Whizz in a fresh market.Key Responsibilities:Sales: Identify and engage potential clients, deliver compelling presentations, and achieve weekly and monthly sales objectives.Onboarding & Training: Provide on-site training, mentor team members, and foster continuous professional development.Management & Coaching: Oversee daily operations, develop schedules, and enhance sales processes for optimal performance.Reporting: Monitor sales metrics, analyze performance data, and prepare detailed reports for management.

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...

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.

Plaid is looking for an Analytics Engineer in San Francisco to help shape how data informs business and product decisions. This position centers on transforming raw data into clear, actionable insights that support growth and improve product outcomes. Role overview This role involves working closely with multiple teams to identify important metrics and analyze trends. Expect to translate complex datasets into findings that can guide strategic choices across the company. What you will do Collaborate with different teams to define and track key business and product metrics Analyze data to uncover patterns and opportunities for improvement Present findings that help drive product optimization and business growth Requirements Experience working with data to support decision-making Ability to communicate complex analyses in a clear, actionable way Comfort working cross-functionally with technical and non-technical teams

About UsAt Passage, we are dedicated to leveraging technology to eliminate barriers that prevent talented individuals from accessing opportunities. By integrating cutting-edge AI advancements with human insights, we strive to create a more equitable landscape.Our commitment to access: We believe in making opportunities affordable. Through our affiliate, Passage Funding, we offer financial solutions for international students.Our core belief: Access to opportunities should be universal, irrespective of geography, gender, or socioeconomic status. We reinvest a portion of our profits to support marginalized communities, including our initiatives for Afghan students.Our product is access: We develop AI solutions that transform paperwork into actionable decisions, leading to tangible outcomes.Our ambitious mission: By 2030, we aim to dismantle the barriers that hinder brilliant minds from obtaining the opportunities they deserve.The OpportunityWe are seeking a Staff Analytics Engineer to spearhead the development of Passage’s analytics infrastructure and decision-making framework.This pivotal role combines engineering, analytics, and business strategy. You will architect systems that convert operational data into dependable insights utilized throughout the organization.From your first day, you will collaborate closely with leadership across engineering, growth, credit, finance, product, and operations. You will design the data architecture, establish pipelines and analytical models, and create metrics that drive Passage’s operational strategies.As a senior member of our team, you will have a significant impact across the organization, developing the analytics layer of our data platform, ensuring the integrity and reliability of decision-related data, and establishing best practices for data utilization in operations and growth.As Passage continues to expand, you will help define our long-term data strategy and play a crucial role in enhancing our analytics capabilities.We are a dynamic, high-ownership team that operates swiftly. Our structure is flat, with no limits on professional growth. We are looking for someone enthusiastic about constructing the data intelligence of the company, establishing best practices, and eventually contributing to the growth of the data team as we scale.

Join Our Visionary Team at cognition!We are an innovative applied AI lab dedicated to developing cutting-edge software agents. As the creators of Devin, the pioneering AI software engineer, and Windsurf, the AI-native IDE, we envision a future where collaborative AI teammates empower engineers to tackle more complex challenges and achieve ambitious objectives.Our team is comprised of exceptionally talented individuals, including world-class competitive programmers, seasoned entrepreneurs, and leaders from top-tier AI companies such as Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.While Devin and Windsurf represent significant strides in our mission, the most formidable challenges still lie ahead. If you're passionate about addressing some of the world's most pressing issues and advancing AI capabilities for real-world applications, we invite you to apply!Role OverviewWe are seeking a skilled Analytics Engineer to oversee our comprehensive data stack, encompassing database architecture, data pipelines, integrations, and reporting. Your expertise will be pivotal in designing and maintaining systems that ensure our data remains reliable, accessible, and actionable, with a specific emphasis on product and go-to-market analytics.Key Responsibilities:Architect and manage robust database structures and data models.Develop and maintain ETL/ELT pipelines along with orchestration workflows.Create and oversee new data integrations between internal and external systems.Lead business reporting initiatives, including datasets, dashboards, key metrics, and self-service analytics.Guarantee data quality, observability, governance, and thorough documentation.

Peregrine Technologies is backed by prominent investors from Silicon Valley, providing innovative solutions to public safety organizations, local and state governments, federal agencies, and private institutions. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, enabling swift and precise decision-making that enhances outcomes across various sectors. Currently, we serve hundreds of clients across over 30 states and two countries, positively impacting more than 125 million individuals. As we expand our footprint into enterprise-level solutions and international markets, our influence continues to grow.The RoleAs the Manager of Business Intelligence and Analytics Engineering at Peregrine, you will be instrumental in defining the architecture, access, and application of data throughout the organization. You will lead the development and implementation of our analytics infrastructure, collaborating with teams in Product, Sales, Finance, and Operations to convert raw data into meaningful insights and actionable strategies.This role is highly collaborative and visible, requiring you to engage directly with business leaders to establish key performance indicators (KPIs), automate processes, and enhance our data architecture. If you thrive in dynamic environments, enjoy building data pipelines from business inquiries, and are eager to shape the future of data within a mission-driven organization, we encourage you to apply.What You'll DoOwn and expand our data warehouse to accommodate a rapidly growing product and Go-To-Market ecosystem.Design and sustain ETL pipelines using dbt to integrate data from various tools, applications, and external platforms.Create clean, reusable data models to support reporting needs across Sales, Marketing, Product, and Finance.Develop dashboards and analyses to identify trends in revenue, product usage, and customer behavior.Establish data quality checks and alerts to guarantee the accuracy, timeliness, and reliability of data.Assist in planning and forecasting by collaborating with teams to define KPIs and create predictive models.What We Look ForA minimum of 4 years of experience as a BI Engineer, Analytics Engineer, or Data Engineer within a fast-paced technology environment.Strong proficiency in SQL and best practices for data modeling.Expertise in dbt, modern data warehouses (such as Snowflake or BigQuery), and orchestration tools like Airflow or Prefect.

Join Hilbert, a pioneering scalable data science platform driving growth for B2C teams with predictive insights into user behavior and revenue sources. Our innovative technology condenses decision-making timelines from months to mere minutes.Trusted by Fortune 10 companies and cherished brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert empowers operators to enhance their growth strategies. We are also collaborating with leading AI firms to co-develop advanced solutions.We seek an innovative Head of Engineering to spearhead our technical division. You will manage two key departments: Data Engineering and Software/Platform Engineering, growing a team of 15-20 exceptional engineers by the end of the year. This is not a maintenance position; you will cultivate a high-performance system capable of handling 40+ simultaneous mid-market integrations while deploying tailored enterprise-grade AI environments.While you won't be writing all the pull requests, your expertise must shine during high-stakes enterprise architecture discussions, positioning you as the technological ambassador for Hilbert to our major clients.

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!

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!

The biotechnology sector is transforming our world, influencing everything from the medicines we utilize to the agricultural advancements we witness. However, to keep pace with the rapid evolution of science, we need cutting-edge technology.At Benchling, our mission is to harness the full potential of biotechnology. The most pioneering biotech firms rely on Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market.Join us in revolutionizing modern science through advanced software solutions.ROLE OVERVIEWWe are a dedicated full-stack web application development team committed to crafting powerful and user-friendly tools that enhance various scientific workflows. Our work spans from designing DNA constructs and analyzing protein sequences to conducting gene editing experiments and modeling antibodies. We develop features that empower scientists to effectively plan, implement, and comprehend their research.We are seeking a seasoned manager to lead our Molecular Biology engineering team within the Scientific Modalities group. Ideal candidates will have demonstrated success in prioritizing customer needs and ensuring product excellence while formulating strategic roadmaps and overseeing team execution.

Supported by premier investors from Silicon Valley, Peregrine Technologies empowers public safety organizations, government entities, federal agencies, and private institutions to tackle societal challenges with unmatched speed and precision. Our AI-driven platform transforms isolated and unconnected data into actionable operational intelligence, swiftly surfacing critical information that enables better, faster decision-making, thereby enhancing outcomes at every interaction. Currently, Peregrine serves hundreds of clients across more than 30 states and two countries, impacting over 125 million individuals, and we are poised to extend our influence into enterprise sectors and globally.Our TeamAs a cohesive engineering unit, we firmly believe that empathy enhances our solutions. Observing how users interact with our products is pivotal in guiding us toward the right solutions. Engineers will have the opportunity to collaborate closely with our onsite team to grasp the diverse use cases that Peregrine addresses.We are on the lookout for an Engineering Manager to join our core engineering teams. You will collaborate cross-functionally with design and product management to develop robust, scalable, and user-centered systems. Our teams face a range of challenges, from enabling real-time collaboration on detailed maps to constructing high-scale backend architectures capable of processing billions of data points.We value both ownership and collaboration—you will take full responsibility for significant features while working closely with fellow engineers to drive projects to fruition. We hold that humility and empathy are vital for crafting the right solutions—you will engage directly with our deployment team and users as we iterate to tackle their challenges. Creativity and perseverance are essential in realizing our vision.RoleThis position is central to the strategic execution of Peregrine's platform. You will define how our core systems scale, perform, and evolve as Peregrine continues its rapid growth and strengthens its impact across public safety, government, and enterprise sectors.As a senior platform leader, your role transcends mere system management; you will establish the technical direction, build your team, and create the operational framework that empowers every product team at Peregrine to progress with speed, safety, and assurance. Your contributions will directly influence system reliability and performance.

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 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

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.