May 22, 2026
Staff Software Engineer (Data), TVision
Senior • On-site
180,000 - 210,000 USD/yr
Boston, MA
WHAT YOU'LL DO
Viant Technology (NASDAQ: DSP) is building the future of AI-powered, identity-driven advertising across CTV and the open internet — and TVision plays a critical role in that ecosystem by delivering next-generation audience measurement through real-world, person-level viewing insights. Using a combination of computer vision, audio content recognition, network traffic analysis, and large-scale behavioral data collection, TVision measures what consumers watch, how they engage, and how advertising performs across modern streaming and television environments.
As a Staff Software Engineer, you will help build the distributed systems and data infrastructure that power TVision's measurement platform. You'll develop scalable backend services, cloud-native data pipelines, and processing frameworks that enable reliable device telemetry, content recognition, and large-scale analytics. Working closely with data science, analytics, and platform engineering teams, you'll help transform billions of seconds of raw viewing data into actionable insights that drive innovation across Viant's CTV and advertising technology platforms.
THE DAY-TO-DAY
- Build and maintain web services that support configuration, monitoring, and data ingestion for TVision's in-home measurement devices.
- Build and maintain data pipelines to support the recognition and analysis of content captured by our devices.
- Work with data science and analytics staff to build clean, well-designed tools and libraries for our back-end data processes, making best practices in software engineering and database performance accessible to the entire team.
- Ensure the quality, security, and timeliness of our data deliveries by thorough testing, careful code review, and robust operational monitoring.
QUALIFICATIONS
- Bachelor's degree in Computer Science or a related quantitative field.
- 8+ years of experience building backend services and distributed data systems.
- Experience with Python and modern Python engineering best practices.
- Experience building batch and streaming data pipelines at scale.
- Experience with AWS infrastructure, DevOps tooling, and CI/CD workflows.
- Strong experience with cloud-hosted, containerized web service architectures and modern deployment patterns.
- Strong knowledge of relational databases, data lake technologies, and performance optimization best practices.
- Experience with modern big data processing frameworks such as Spark, Databricks, Flink, or similar technologies.
- Comfort collaborating with quantitative and data science teams to optimize computational workflows and data processing efficiency.
ABOUT VIANT
Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant's omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of ViantAI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best AI-Powered Advertising Solution and Best Demand-Side Platform by MarTech Breakthrough, Great Place to Work® certification and received the Business Intelligence Group's AI Excellence Award. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
LIFE AT VIANT
- Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the BEST PLACES TO WORK!
- Some our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. View a list of our benefits here.
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
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The position focuses on safe and efficient AV performance using software and diagnostic tools in a fast-paced operational environment. 🗂️ Requirements: Experience in autonomous vehicle operations, automotive, robotics, fleet operations, or technical training, Ability to diagnose and troubleshoot automotive systems, robotics platforms, hardware, software, and networks, Proficiency with Linux-based systems, Experience with scripting languages, Proficiency with Microsoft Office and Google Workspace, Strong problem-solving and issue documentation skills, Ability to follow detailed operational and safety procedures, Strong written and verbal communication skills, Ability to manage multiple priorities in a time-sensitive environment, Availability for flexible schedules including nights, weekends, and holidays, Valid driver's license with clean record 📃 Skills: Linux, Python, Java, C++, Docker, Wireshark, JIRA, Confluence, Bitbucket, Jenkins, LiDAR, Radar, CAN, Excel, Word, PowerPoint, GoogleWorkspace 🏢 Description: Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote assistance to autonomous vehicles in autonomous mode when they encounter unknown situations. Reporting to the Remote Vehicle Assistance Supervisor, the agent uses proprietary software tools to interact with autonomous vehicles to provide context and assistance, enabling the vehicle to continue its mission. The role emphasizes research and development, commercialization, revenue generation, and product enhancement while driving efficiency through new tools and technologies. What you'll be doing: - Monitor autonomous vehicles operating on closed courses and public roads - Assist in autonomous vehicle decision-making with real-world events to ensure safe and efficient travel - Monitor camera feeds and systems to ensure vehicles and systems function properly - Provide real-time support for vehicle direction and travel safety - Work closely with engineering and design teams for system testing and development of new scenarios - Interact with autonomous vehicles to resolve tickets and issues through software and hardware tools - Report system functionality issues to management in a timely manner - Perform other assigned duties Qualifications: - Demonstrated interest in autonomous vehicle technology with commitment to safety and reliability - Prior experience in autonomous vehicle operations, automotive, robotics, fleet operations, technical training, or adult learning environments - Experience delivering instructor-led training and conducting structured onboarding programs - Ability to diagnose and troubleshoot automotive systems, robotic platforms, computer hardware, software applications, and network infrastructure - Working proficiency with Linux-based systems and familiarity with scripting languages - Proficiency with Microsoft Office and Google Workspace tools - Successful completion of role-based eLearning and certification content - Ability to apply logical analysis to problem-solving and issue resolution - Ability to follow detailed procedures and quickly learn new workflows - Strong communication, organizational, and time management skills - Ability to adapt to changing operational conditions - Availability for flexible schedules including nights, weekends, and holidays - Valid driver's license with clean record Preferred Qualifications: - Associate's or Bachelor's degree in Engineering, Computer Science, Automotive Technology, or related field - Experience designing technical training programs and certification processes - Working knowledge of Atlassian tools including JIRA, Confluence, Bitbucket, and Jenkins - Familiarity with Java, C++, or similar programming languages - Experience with Docker, Python, and network analysis tools such as Wireshark - Knowledge of automotive diagnostic procedures and vehicle networks - Experience with autonomous vehicle sensors including LiDAR, radar, cameras, and CAN bus systems - Experience working in Linux-based environments - Experience performing data analysis for operational improvement Physical Demands: - Frequent sitting, talking, and hearing - Occasional standing, walking, reaching, and handling equipment - Near, far, depth, and color vision required - Ability to stay alert throughout shifts - Ability to sit or stand for up to 10 hours Working Environment: This role requires work in an office environment using computers, telephones, and office equipment. Employees may encounter frequent interruptions and regular exposure to mechanical and computer parts. Benefits: - Medical insurance - Dental insurance - Vision insurance - 401k with company match - Health savings accounts - Life insurance - Pet insurance - Bonus or company equity eligibility Salary Range: $56,000—$66,500 USD
Technology
New offer

Palmetto
Staff Platform Engineer
Senior
On-site
New York, NY
🏢 Summary: Senior engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed data access, supporting AI/ML workflows, and operating production-grade APIs and platforms. Candidates will work across backend engineering, data systems, infrastructure, and AI tooling in a fast-moving environment. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, Working knowledge of JavaScript, Working knowledge of TypeScript, Advanced SQL skills, Command-line proficiency, Experience building containerized microservices, Experience with FastAPI or NestJS, Experience with GraphQL or REST APIs, Cloud infrastructure experience, Experience with multicloud environments, Experience with Snowflake, Experience with dbt, Experience with Airflow, Knowledge of DuckDB or Iceberg, Authentication and authorization expertise, Experience with fine-grained authorization models, CI/CD experience, Observability and reliability engineering knowledge, Understanding of machine learning principles 📃 Skills: Python, JavaScript, TypeScript, SQL, Bash, Zsh, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, ReBAC, ABAC, MCP, Redis, Kubernetes, D3 🏢 Description: Palmetto is a clean tech company focused on accelerating the transition to renewable energy through software, financial products, and services. Location This position will be based in Charlotte, NC, Boston, MA or New York, NY. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents, not just people reading dashboards. The mandate is to take what is cutting edge today and make it our table stakes. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling, and pick up whatever is next. Success means agent-first and machine-first stop being aspirations and become how Palmetto operates by default: services, teams, and AI agents get the data they need, governed and reliable, wherever the business goes next. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Experience shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure and multicloud experience. - Experience with Snowflake, dbt, SQL, Airflow, DuckDB, Iceberg, or similar tooling. - Strong authentication and authorization knowledge. - Experience with CI/CD and observability. - Understanding of machine learning principles. - Strong communication and solutions engineering skills. Preferred: - Experience with data catalogs, metadata platforms, and governance. - Experience building or integrating AI-agent interfaces. - Experience with data visualizations and data apps. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. Benefits - Unlimited PTO - Medical, dental, and vision coverage - Paid parental leave - Retirement plans Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment decisions are based on qualifications, merit, and business need.
Technology
New offer

Palmetto
Staff Platform Engineer
Senior
On-site
Boston, MA
🏢 Summary: Senior engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed access to data, supporting AI/ML workflows, and operating production-grade services and APIs. The role requires strong software engineering, platform engineering, and modern data stack expertise. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, JavaScript, TypeScript, SQL, Experience building containerized microservices, Experience with REST or GraphQL APIs, Cloud infrastructure experience, Experience with modern data stack tools, Authentication and authorization knowledge, CI/CD and observability experience, Understanding of machine learning principles, Command-line proficiency 📃 Skills: Python, JavaScript, TypeScript, SQL, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, DevOps, SRE, Redis, Kubernetes, Bash, zsh, MCP 🏢 Description: Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all. Our employees are our most valuable resource. Palmetto offers a comprehensive benefits package including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Proven track record shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure experience, ideally multicloud. - Fluency with modern data stack tools including Snowflake, dbt, SQL, Airflow, DuckDB, and Iceberg. - Strong authentication and authorization knowledge. - DevOps and SRE sensibility including CI/CD and observability. - Understanding of machine learning principles. Preferred: - Experience with data catalogs or metadata platforms and data governance. - Experience building or integrating AI-agent interfaces. - Experience with data apps and visualizations. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need.
Technology
Vaillant Group Business Services
Data Scientist (GenAI focus)
Senior
Hybrid
Katowice, SL, Poland
15,000 - 20,000 PLN
🏢 Summary: The role focuses on translating business needs into analytical use cases using machine learning and generative AI, delivering production-ready AI/ML solutions in a cloud environment. It involves feasibility analysis, data preprocessing, model evaluation, and clear communication of insights to stakeholders. The position requires driving innovation through advanced analytics and state-of-the-art AI techniques. 🗂️ Requirements: Master’s degree in Computer Science, Mathematics, Physics, Bioinformatics or related quantitative field, Minimum 4 years of professional experience in Data Science or Data Analytics, Proven experience delivering Data Science projects, Strong programming skills in Python, Experience with cloud services, especially Microsoft Azure, Experience applying machine learning and statistical methods to business problems, Ability to analyze data quality and perform data preprocessing, Fluent English 📃 Skills: Python, MachineLearning, GenerativeAI, Statistics, DataAnalysis, DataPreprocessing, DataVisualization, Azure, Cloud, AI, SQL 🏢 Description: What we achieve together In this role, you will translate business requirements into analytical use cases (generative AI and machine learning) and drive innovation and efficiency across the Vaillant Group. You will effectively analyze business use cases regarding feasibility and effort estimation based on the Vaillant data model, including data quality and necessary preprocessing steps. You will apply state-of-the-art machine learning and AI techniques and advanced statistical methods to achieve company goals. In addition, you will critically evaluate ML/AI solutions and analyses using metrics to validate the achievement of business objectives and recommend improvements. You will communicate results with cross-functional project members and stakeholders, using clear presentations and understandable visualizations of insights. Finally, you will utilize cloud services and self-programmed (Python) applications to develop production-ready AI/ML solutions. What makes us successful together Qualification : You have a Master’s degree in Computer Science, Mathematics, Physics, Bioinformatics, or other quantitative fields with AI/ML relation. Experience : You bring more than 4 years of professional experience in the field of Data Science/Data Analytics with a proven track record in Data Science projects. Know-how and skills : You have excellent programming skills (in Python); visualization of complex data; experience with cloud services and Data Science-related components (especially in Microsoft Azure). Nice to have : You have experience with Generative AI (GenAI) or AI agents would be a plus. Personality : You are a team player, curious, with initiative and motivation to work in an agile and interdisciplinary environment. Language skills : You are fluent in English; German language skills would be a plus. What you can count on Flexible work model: adjustable starting times (7:30 – 9:00AM), hybrid work 70/30, and up to 30 days of remote work from abroad from selected countries. Health & Wellness support : private medical care (Medicover), sports card subsidy (Multisport), group insurance (Warta), and ergonomic office spaces. Time off & balance: additional paid 2 days off and subsidies for recreation. Financial perks: up to 30% discount on company products, support for commuting and eyewear. Growth & Development: access to internal training, mentoring programs, self-learning platform for languages (eTutor) and international projects. Culture & Community: company events, family friendly activities, and open opportunities within Vaillant Group. What makes us special We take care of a better climate. In every home and our environment. As a successful family business, we have been living up to this claim for over 150 years. We are one of the world's leading providers of heat pumps, digital services and efficient gas heating appliances and offer energy-saving solutions. You will find sustainability everywhere at the Vaillant Group. In the office, at the production sites and on the road. Around 16,000 employees from over 70 countries are committed to this every day. As an international team, we take responsibility - for our future and that of our planet. We promote your personal development so that you can act with passion and together we can ensure a better climate. Become part of the Vaillant Group and help us shape the future of heating! We promote equity and do not tolerate any form of discrimination. We value the uniqueness of each individual and encourage all people to apply.
Technology

Mixpanel
Manager, Solutions Engineering
Senior
Hybrid
On-site
New York City, NY
🏢 Summary: Leadership role managing a team of Solutions Engineers in a B2B SaaS analytics environment, driving technical pre-sales strategy and customer success. Combines people management, deep data analytics expertise, and cross-functional collaboration to support complex sales cycles and product adoption. Responsible for coaching the team, optimizing technical sales processes, and ensuring successful implementation of analytics solutions. 🗂️ Requirements: 3+ years managing technical pre-sales, solutions engineering, or professional services teams, Experience in B2B SaaS environment, Deep knowledge of data and analytics products implementation, Experience working on complex technical sales cycles, Ability to communicate complex technical concepts to technical and non-technical stakeholders, Experience collaborating with Sales, Product, and Engineering teams, Hands-on experience with product analytics or modern data stack tools 📃 Skills: SaaS, Analytics, CDP, Datawarehousing, Snowflake, BigQuery, Segment, Hightouch, Mixpanel, Amplitude, Pendo, Contentsquare 🏢 Description: About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.About the Role As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. Responsibilities Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance. Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line. Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes. Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale. Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity. Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture. Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success. We’re Looking For Someone Who Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team. Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers. Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue. Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders. Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals. Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams. Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities. Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team. Bonus Points Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy. Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare. Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch. #LI-HybridCompensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.Mixpanel Compensation Range$238,300—$321,705 USDBenefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.