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Experience Level
Senior Level Manager
Qualifications
Proven experience in project management and team leadership, preferably in a senior role. Strong strategic thinking and problem-solving skills. Excellent communication and interpersonal abilities. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Familiarity with project management tools and methodologies. Advanced degree in a relevant field is preferred.
About the job
Altos Labs seeks a Senior Director, Project Team Leader based in the San Francisco Bay Area. This position leads major projects that drive the company's mission forward. The Senior Director will set high expectations for project delivery, motivate teams, and foster a collaborative environment where strong performance is the norm.
Key responsibilities
Direct planning, execution, and delivery for multiple projects simultaneously
Align each project with Altos Labs’ broader organizational objectives
Apply project management expertise to identify and address risks early in the process
Distribute resources effectively across teams and initiatives
Maintain clear and consistent communication with stakeholders throughout each project
Impact of this role
The Senior Director, Project Team Leader will influence how projects are managed and delivered at Altos Labs. This leader shapes both team culture and the outcomes of key initiatives.
About Altos Labs
At Altos Labs, we are dedicated to pioneering advancements in biotechnology and health sciences. Our mission is to leverage cutting-edge research to develop transformative therapies that improve the quality of life for individuals worldwide. Join us in our commitment to innovation and excellence as we strive to make a meaningful impact on global health.
Full-time|On-site|San Francisco, CA, Washington, D.C., New York City, NY, Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO.
As a Team Leader in Analytics Engineering at truebill, you will spearhead a talented team of data engineers and analysts to drive critical insights that shape our business strategies. Your role will involve collaborating with cross-functional teams to develop innovative analytics solutions, ensuring that our data infrastructure is robust, scalable, and align…
Full-time|$160K/yr - $190K/yr|On-site| San Francisco, CA, Washington, D.C., New York City, NY, Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO.
JOIN ROCKET MONEY AND MAKE A DIFFERENCE IN FINANCIAL WELLNESS At Rocket Money, our goal is to significantly enhance the financial well-being of millions. We equip our members with an in-depth understanding of their finances and offer a comprehensive suite of services designed to save time and money—empowering them on their financial journeys. MEET THE DATA ANALYTICS TEAM The Data Analytics team at Rocket Money consists of dedicated analysts who are enthusiastic about leveraging data to guide business strategies and improve user experiences. Our analysts function within a semi-embedded structure, independently developing analytics tools, driving data-led strategies, and evaluating experiments across various product teams. Collaboration with the analytics engineering and data science teams is essential as we strive to meet our goals in product delivery, operations, finance, and marketing. As we expand, we seek a Data Analytics leader who is passionate about cultivating an equitable and supportive work culture, facilitating personal and professional growth, and enhancing product delivery. We are looking for someone to elevate our Data Analytics team and champion data-driven decision-making across the organization. YOUR ROLE WILL INCLUDE: Leading and managing a team of 4-6 product data analytics professionals, establishing processes for independent operation within cross-functional teams while ensuring high standards of quality and accountability and fostering individual development. Driving the technical strategy for self-service analytics, enabling your team to focus on higher-value analyses and tool development. Revamping our experimentation strategy to enhance rigor across the organization while collaborating with product and engineering teams to set standards for eventing, cohorting, and analytics. Nurturing strong relationships with other leaders in the company, advocating for your team's involvement at critical times and ensuring high-quality analytics delivery across departments. Addressing performance challenges directly and making decisions prioritizing the needs of our users, team members, and the business. Building efficient teams and processes that optimize data analytics resources. Owning ambitious yet realistic quarterly roadmaps that propel our business forward by creating tools that enable faster and more consistent outcomes and directing cross-team analytics initiatives that inform strategy. Being accountable for making, measuring, and delivering on commitments made by the team.
Role overview Bosch Group is hiring a Payroll Rewarding Team Leader in San Francisco. This position manages the payroll team, ensuring payroll runs accurately and on time. The team leader also plays a key part in supporting employee satisfaction and making sure all payroll activities follow current regulations. What you will do Guide and support the payroll team to process payroll precisely and meet all deadlines Encourage a collaborative and high-performing work environment Partner with other departments to enhance payroll systems and processes Monitor payroll operations for compliance with legal and company requirements Help deliver a smooth payroll experience for employees Location This position is based in San Francisco.
Full-time|Remote|Denver, CO;San Francisco, CA;New York, NY;Las Vegas, NV;Atlanta, GA;Phoenix, AZ
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.
Part-time|On-site|San Francisco, California, United States
About UsWhizz is revolutionizing the delivery industry with our innovative electric bicycle solutions. Our mission is to deliver the most cost-effective transportation options in history. We prioritize customer care and actively resolve any challenges that arise. With streamlined processes for sign-up and usage, coupled with competitive pricing, we foster an environment where riders can maximize their earnings, ensure their safety, and enhance community ties.As the leading e-bike subscription provider in the U.S., Whizz is poised for further growth.Your RoleAs a Sales Team Leader, you will be responsible for guiding and empowering our sales team to promote Whizz’s e-bike services to prospective riders. Your leadership will involve training, mentoring, and inspiring your team to consistently exceed ambitious sales targets while establishing Whizz’s presence in a new market.Key Responsibilities:Sales: Discover and engage potential clients, effectively present and sell our e-bike solutions, and consistently achieve weekly and monthly sales objectives.Onboarding & Training: Provide in-field training, mentor team members, and facilitate ongoing professional development.Management & Coaching: Manage daily operations, develop work schedules, and enhance sales processes.Reporting: Monitor sales performance, analyze data trends, and generate regular reports for management.
Full-time|On-site|San Francisco, California, United States
Whizz is at the forefront of revolutionizing delivery services with our innovative and cost-effective electric bicycle solutions. Our mission is to redefine transportation affordability while ensuring customer satisfaction. We prioritize our clients by addressing concerns promptly and enhancing user experience through streamlined registration and usage processes. Our objective is to cultivate an environment where riders can earn a sustainable income, maintain safety, and foster community connections.As the leading e-bike subscription provider in the U.S., Whizz is committed to making a significant impact in the delivery landscape.Key Responsibilities:Sales: Identify and engage potential clients, effectively present our e-bike solutions, and consistently achieve sales targets on a weekly and monthly basis.Onboarding & Training: Provide in-field training, mentor team members, and facilitate ongoing professional development.Management & Coaching: Supervise daily operations, develop schedules, and enhance sales processes for maximum efficiency.Reporting: Monitor sales performance, analyze trends, and compile regular reports for management review.
Full-time|On-site|San Francisco, CA; Austin, TX; New York, NY
Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.
Full-time|On-site|San Francisco, CA; Austin, TX; New York, NY
Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.
Full-time|On-site|Bellevue, Washington; Chicago, Illinois; San Francisco, California
Role Overview Okta is looking for a Senior Analytics Engineer to help shape data-driven decisions across the company. This role focuses on designing and building analytics solutions, improving data architecture, and working with teams from different functions to uncover insights from complex datasets. What You Will Do Design and implement analytics solutions that support business goals Collaborate with colleagues across departments to identify and extract meaningful insights from large data sets Enhance and maintain the company’s data architecture to ensure reliability and scalability About Okta Okta delivers identity management solutions for organizations worldwide. Your work as a Senior Analytics Engineer will help support Okta’s mission to provide secure, seamless access for users everywhere. Locations Bellevue, Washington Chicago, Illinois San Francisco, California
Part-time|On-site|San Francisco, California, United States
At Whizz, we are revolutionizing the delivery services landscape by offering reliable, affordable electric bicycle solutions. Our mission is to create the most cost-effective transportation options in history, prioritizing customer care and swiftly resolving any issues. With a streamlined sign-up process and competitive pricing, we foster an environment where our riders can increase their earnings, ensure their safety, and enhance their community ties.As the leading e-bike subscription provider in the U.S., Whizz is committed to innovation and customer satisfaction.Key Responsibilities:Sales: Seek out potential clients, effectively present our e-bike solutions, and consistently achieve weekly and monthly sales targets.Onboarding & Training: Provide in-field training, mentor team members, and promote ongoing growth and development.Management & Coaching: Oversee daily operations, develop schedules, and refine sales processes for optimal efficiency.Reporting: Monitor sales performance, analyze metrics, and deliver regular reports to management.
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.
Full-time|$96.5K/yr - $117.2K/yr|On-site|San Francisco
Join the dedicated team at the San Francisco Behavioral Health Center (SFBHC), previously known as the Mental Health Rehabilitation Facility (MHRF), where we operate 24/7 to provide essential mental health services. Our facility encompasses three specialized programs designed to support the severely and persistently mentally ill population within the City and County of San Francisco. These programs include an Adult Residential Facility (ARF), a Residential Care Facility for the Elderly (RCFE), and a Mental Health Rehabilitation Center (MHRC).As a Behavioral Health Team Leader, you will take on the crucial role of a first-line supervisor, guiding and leading Mental Health Rehabilitation Workers, Licensed Vocational Nurses, and Licensed Psychiatric Technicians in maintaining clinical standards.Work Hours: Our center operates around the clock, requiring flexibility to work various 8-hour shifts, including weekends and holidays based on coverage needs.In this position, you will supervise staff performing patient care tasks, manage the care of mentally ill patients, and personally handle complex patient care responsibilities.Key Responsibilities:Oversee patient care activities and management of mentally ill clients.Assist in assessing staff and program requirements.Contribute to the establishment of clinical standards and address unit issues.Assign shifts and evaluate the quality and completeness of work.Provide direct patient care following established policies and procedures.Monitor, record, and report on clients’ physical and psychological conditions.Establish and maintain therapeutic relationships with clients and their support networks.Support clinicians in the implementation of treatment plans and procedures.Administer medications and observe their effects and side effects.Conduct in-service training programs for staff.Engage in multi-disciplinary treatment planning.Handle the collection and transportation of laboratory specimens.Perform other related duties as assigned.
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.
Full-time|On-site|San Francisco, California, United States
Whizz is revolutionizing the delivery services landscape by offering reliable and cost-effective electric bicycle solutions. Our mission is to redefine transportation affordability and enhance community connections. We prioritize customer satisfaction and actively resolve any issues that arise. With an easy sign-up process and competitive pricing, we empower our riders to maximize their earnings while ensuring their safety and fostering community ties.As the leading e-bike subscription provider in the U.S., Whizz is on a path of continuous innovation and growth.Key Responsibilities:Sales Leadership: Identify and engage potential clients, effectively present our e-bike solutions, and consistently achieve sales targets on a weekly and monthly basis.Onboarding & Training: Provide in-field training, mentor team members, and promote ongoing professional development.Management & Coaching: Oversee daily operations, develop team schedules, and continuously enhance sales processes.Reporting: Monitor sales performance, analyze key metrics, and prepare detailed reports for management review.
Role overview Altos Labs seeks a Senior Director, Project Team Leader based in the San Francisco Bay Area. This position leads major projects that drive the company's mission forward. The Senior Director will set high expectations for project delivery, motivate teams, and foster a collaborative environment where strong performance is the norm. Key responsibilities Direct planning, execution, and delivery for multiple projects simultaneously Align each project with Altos Labs’ broader organizational objectives Apply project management expertise to identify and address risks early in the process Distribute resources effectively across teams and initiatives Maintain clear and consistent communication with stakeholders throughout each project Impact of this role The Senior Director, Project Team Leader will influence how projects are managed and delivered at Altos Labs. This leader shapes both team culture and the outcomes of key initiatives.
Full-time|On-site|San Francisco, CA; Austin, TX; New York, NY
Join Airtable as an AI Analytics Engineer and be part of a pioneering team that is dedicated to enhancing our AI & Analytics Platform. In this role, you will leverage cutting-edge technologies to analyze vast datasets and drive insights that inform decision-making processes across the organization. You will work collaboratively with data scientists and engineers to develop innovative solutions that meet our clients' needs.
Mariana Minerals, based in San Francisco, supplies critical minerals for sectors such as energy, AI, and defense. The company integrates industrial expertise with advanced software, automation, and data-driven processes to improve how minerals are sourced, refined, and optimized. Mariana Minerals emphasizes responsible mineral sourcing and supply throughout its operations. Role overview The Analytical Systems Engineer will support laboratory analytical capabilities across multiple locations. This position focuses on developing and refining analytical methods, troubleshooting technical issues, and introducing new instruments and procedures. The role calls for a strong analytical background, hands-on mechanical skills, and adaptability in various lab environments. What you will do Enhance and optimize analytical methods at laboratory sites. Troubleshoot and resolve issues with analytical techniques to ensure reliable data and methods. Lead implementation of new instruments, including ICP-OES, ICP-MS, Atomic Absorption, and related equipment. Create, validate, and standardize analytical workflows and methods. Train laboratory staff on equipment usage, analytical techniques, and best practices. Collaborate with cross-functional teams to improve analytical efficiency and maintain data integrity. Evaluate new technologies and suggest improvements for existing systems. Maintain thorough documentation for methods, SOPs, and technical guidelines. Offer technical support for complex analytical challenges within the organization. Requirements Bachelor’s degree in Analytical Chemistry, Chemistry, or a related scientific field (recent graduates encouraged to apply). Experience with ICP-OES, ICP-MS, Atomic Absorption, or similar analytical instruments is preferred. Solid understanding of analytical techniques, sample preparation, and data interpretation. Strong problem-solving abilities and the capacity to work both independently and as part of a team.
Full-time|Remote|US Remote, Los Angeles, CA; San Francisco, CA; New York City, NY; Minneapolis, MN
Join Calm as an Analytics Engineer and become an integral part of our mission to make the world a healthier and happier place. You will leverage your analytical skills to derive insights that guide our data-driven decisions and enhance our users' experiences. Your role will involve collaborating with cross-functional teams to optimize data flow and ensure data integrity while developing scalable data models.
Full-time|$112.5K/yr - $150K/yr|Remote|San Francisco, CA (Remote)
Earnest builds borrowing solutions that help people take control of their financial futures. The Analytics Engineer II role supports this mission by improving how data is modeled, organized, and delivered across the company. Role overview This position reports to the Senior Manager of Data Platforms and Analytics Engineering. The Analytics Engineer II works closely with Product, Risk, and Analytics teams to ensure data is accessible, reliable, and structured for confident decision-making. What you will do Design and refine data models to support faster and more dependable decisions across multiple business teams. Remove data bottlenecks by providing clean, scalable datasets that analysts can use independently. Support both planned projects and urgent requests, helping business teams operate smoothly. Improve data quality and organization to enable effective analysis and the launch of new products or features. Requirements At least 3 years of experience in analytics engineering, data engineering, or a related field. Strong SQL skills and experience building data models that align with business needs. Familiarity with dbt and modern data warehouse solutions such as Snowflake or Redshift. Ability to collaborate across teams and translate complex data into actionable insights. Curious, proactive, and motivated to solve problems beyond assigned tasks. Preferred qualifications Experience with orchestration tools like Airflow or similar platforms. Background in fintech, product analytics, or high-growth companies. Location This is a remote role based in the United States. Earnest's headquarters are in San Francisco, CA.
Full-time|$192K/yr - $264K/yr|On-site|San Francisco, CA
About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.
