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.

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 organisation.

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.

• Prioritise & 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 synthesise 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 prioritising 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-Hybrid

Compensation

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.

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 USD

Benefits 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

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 behaviours 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 important thing.

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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.

About the Customer Success Team:

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customers’ business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customers’ organizations, help the customer manage change, execute on technical projects and services that delight our customers, and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role:

As a CSA, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation, where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel, including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics.

For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities:

Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes

Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks

Own the customer’s success with Mixpanel , documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics

Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration

Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust

Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices

Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects

Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues

Bridge the technical-business gap with your customers , working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision

Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects

Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

3 to 5 years of experience consulting on defining and delivering ROI through new tool implementations

Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision

The ability to communicate with stakeholders at most levels of an organization , from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency

Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change

Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role

Excellent written, analytical, and communication skills

Strong process and/or project delivery discipline

Eager to learn new technologies and adapt to evolving customer needs

We'd Be Extra Excited For Someone Who Has

Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Familiar with analytics best practices across business segments and verticals

Benefits 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

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, or any other protected characteristic.

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Your North Star: Build innovative, data-driven products that enhance patient engagement and retention to improve the lives of moms and babies.

We're looking to bring on an experienced Senior Data Scientist to own the data strategy for our Growth and Patient Experience team. In this role, you will hold a dual focus: optimizing the top-of-funnel strategy to grow patient enrollment, and driving the development of next-generation products that keep those patients engaged throughout their care journey.

Responsibilities

• Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
• Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment.
• Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
• Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
• Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey.
• Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
• Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

Requirements

• 4+ years professional experience in data science, product analytics, or data engineering
• 1+ years professional experience working in healthcare, consumer health, or high-touch consumer products
• Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
• Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
• Passionate about improving maternal health outcomes and creating exceptional patient experiences
• Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
• Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
• A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
• Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Bonus Points

• Experience with AI model development including fine-tuning, prompt engineering, model evaluation and building production AI applications
• Background in healthcare AI, clinical decision support, or medical NLP

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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 Support Team

Mixpanel Support is a team of talented problem-solvers from diverse backgrounds. We care deeply about helping our customers be successful and enabling them to get value from their data.

We are located all over the world in San Francisco, Barcelona, London, and Singapore...

About The Role

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use Mixpanel to make impactful product decisions.

We’ve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the Mixpanel journey by providing answers to product questions, sharing best practices, and debugging technical issues.

You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a Mixpanel product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues

Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls

Investigate and document bugs and feature requests to share with our Product and Engineering teams

Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience

Shape the product by regularly working closely with PM’s, engineers, and designers to incorporate customer learnings into change

We're Looking For Someone Who Has

Experience providing customer facing SAAS support (in customer support, professional services, technical account management or similar)

Ability to communicate technical concepts effectively in a clear, friendly writing style

Excellent problem-solving and analytical skills

Programming experience, understanding of web & mobile technologies, and interacting with APIs

Experience with debugging and collaborating with engineering to resolve complex technical issues, especially with JavaScript, Python, or mobile technologies

Ability to be resourceful and resilient when faced with ambiguity and new challenges

Dedication to developing expertise in a complex and constantly evolving product

Interest and aptitude to develop technical skills and learn new technologies

Experience providing SLA based support and/or dedicated support to strategic customers

Speak Hebrew and fluent English

Bonus Points

Experience with Mixpanel or other analytics tools

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Benefits 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

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.

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.

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Reporting to the Vice President, Enterprise Data, you'll partner closely with senior leaders to improve how teams make decisions, measure performance, and drive outcomes, with a focus on shared views of usage and consumption models and major product launches.

You'll oversee two critical functions: Marketing Analytics (including demand generation, lifecycle marketing, brand, web, developer relations, localization, monetization, and campaign and event effectiveness) and Product Data Insights (including DevOps, Security, Platforms, AI products, new usage and consumption models, product adoption, feature usage, and customer behaviour analysis).

Key responsibilities include:

Defining and executing a unified analytics strategy across Marketing and Product, including shared metrics, measurement frameworks, and dashboards that serve as a single source of truth and connect marketing investment to product adoption, usage, and customer outcomes.

Building clear operating rhythms and ways of working that close historical gaps and help Marketing and Product make consistent, data-informed decisions.

Partnering with Marketing and Product leadership, including the Chief Product & Marketing Officer and other senior stakeholders, to provide actionable insights and executive-ready recommendations that shape go-to-market plans, product launches, roadmap prioritisation, and user experience improvements.

Solving complex analytics problems across both functions, including attribution modelling, lead scoring optimisation, campaign and event effectiveness, product adoption and feature usage analysis, and analytics for AI-powered features (including instrumentation, usage, and cost drivers).

Building and maintaining forecasting and scenario modelling frameworks in partnership with Finance, Product, and go-to-market leaders, tying pipeline, recurring revenue, and usage or consumption models to planning and investment decisions.

Establishing and scaling an experimentation programme across Marketing and Product, setting standards for hypothesis design, test methodology, instrumentation requirements, and clear readouts that translate results into decisions.

Building strong partnerships with data engineering, engineering, and legal, privacy, and security teams to translate business questions into technical requirements, prioritise telemetry and data model work, and improve reliability, quality, accessibility, and compliance in the analytics stack.

Hiring, mentoring, and developing leaders and team members, raising the bar for strategic thinking, stakeholder partnership, and end-to-end ownership across the analytics organisation.

Requirements include:

Strategic analytics leadership across both marketing analytics and product analytics, ideally in B2B SaaS or other high-growth technology environments.

Experience building, leading, and developing multi-layer analytics teams (including hiring, managing managers, and coaching leaders).

Ability to define and operationalise end-to-end measurement frameworks across Marketing and Product, including shared KPIs and clear metric definitions.

Strong analytical and technical skills, including SQL; statistical analysis and experimentation (A/B and multivariate testing); forecasting and scenario modelling; and advanced analytics techniques.

Experience with data visualisation and BI tools (Tableau or similar), with a track record of building executive-ready reporting and narratives for senior leaders.

Proven partnership with Engineering and Data Engineering to translate business needs into telemetry, data models, and analytics requirements, and to improve reliability and delivery across the analytics stack.

Experience collaborating with Legal, Privacy, and Security partners to design compliant telemetry and data-collection approaches that respect regulations and customer expectations.

Ability to influence senior leaders through clear communication and actionable recommendations, and to work effectively in a fully remote, asynchronous environment while adopting GitLab's values and ways of working.

The base salary range for this role's listed level is currently $184,400-$314,400 USD for residents of the United States only.

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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 Customer Success & Solutions Engineering Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value.

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our SEs are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to high-level executives. In your first month, you’ll become a Mixpanel expert,both in features and functionality as well as implementation. You’ll have the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning to articulate our value proposition. You’ll also be trained on Mixpanel’s internal systems and tools to set you up for success.

Within your first three months, you’ll be directly involved in deal cycles with Commercial Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects. You’ll work directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform and consult on how Mixpanel can address those challenges to achieve a strong ROI. You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value,including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.

Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.

Bridge the technical-business gap,working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.

Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.

Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.

Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.

Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.

Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team.

We're Looking For Someone Who Has

The ability to communicate with stakeholders at all levels,from discussing APIs with developers to organizational efficiency with CIOs.

A demonstrated track record of qualifying and selling technical solutions to executive stakeholders.

6+ years of experience in a Software-as-a-Service Sales Engineering or related role.

Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.

Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).

A successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management.

Excellent written, analytical, communication, and presentation skills.

Strong process and project delivery discipline.

The ability to travel.

Fluency in multiple languages; German preferred.

Benefits 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

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.

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.

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This is a hybrid role working 3 days per week from our Aveiro office. You will report to the Group Product Manager on the Acuity Scheduling team.

Responsibilities

• Product Ownership: Act as the primary product owner for your team, setting the roadmap and priorities based on technical feasibility, user impact, and business goals.
• Technical Strategy & Roadmap: Collaborate with engineers to define a scalable technical strategy that aligns with product goals, focusing on data architecture, systems design, and service-based solutions.
• Cross-functional Collaboration: Partner with engineering, data science, and UX teams to understand requirements, manage trade-offs, and deliver solutions that balance speed and scalability.
• Cross-organization Collaboration: Work directly with Squarespace Identity and Security teams to develop and realise a shared vision of a singular identity and authentication system.
• Stakeholder Communication: Translate technical architecture and system requirements into clear, actionable items for stakeholders across the company, including senior leadership and non-technical teams.
• Quality, Security & Performance Optimisation: Focus on the system's stability, reliability, and scalability by working closely with the engineering team on continuous improvement, platform security and technical debt management.
• Architecture Oversight: Guide architectural decisions to ensure optimal security, data flow, storage, and access within our product ecosystem. Advocate for sustainable choices in a service-oriented approach to component-based architecture.

Requirements

• Experience: 4-6 years in product management or a technical role with product ownership, preferably within a data-driven environment; ideally in an identity-centric role.
• Technical Expertise: Strong background as the technical product lead on teams owning data architecture, systems design, and service-based architecture (e.g., microservices), with the ability to engage deeply in technical discussions and decisions.
• Systems Thinking: Proven experience in end-to-end system thinking and design, including a strong grasp of component-based architectures, data storage options, and integration layers.
• Data Architecture: Hands-on experience with data modeling, database design, and data warehousing principles, including familiarity with large data model improvement initiatives.
• APIs & Integration: Understanding of RESTful API design, OAuth, identity federation, and integration patterns to ensure seamless interoperability between services and systems.
• Analytical Mindset: Proficiency in using data to inform decisions autonomously, including experience with data analysis and product analytics tools.
• Communication Skills: Ability to communicate complex technical concepts to both technical and non-technical audiences, bridging the gap between product vision and technical execution.
• Agile Experience: Familiarity with Agile methodologies, including backlog management, sprint planning, and cross-functional team collaboration.
• Project Management: Familiarity with project management tools like Jira, Asana, or similar.

Nice to Have

• Technical Transformation: Experience leading teams and/or organisations from a monolithic architecture to a service-oriented one.
• Identity Experience: High-level understanding of and experience with core user registration flows and OAuth as it pertains to user identity needs.
• Technical Documentation: Experience documenting technical data architecture, service flows, and system dependencies to ensure alignment and knowledge-sharing within the team

Benefits & Perks

• Health insurance with 100% covered premiums for you, your spouse or partner, and dependent children, including medical, dental, and vision
• Life and Disability Insurance
• Pension benefits with employer match
• Fertility and adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Statutory paid time off and all statutory leaves, as required
• Meal Allowance and Flex Benefits Account
• Employee donation match to community organisations
• In the easily accessible city centre of Aveiro
• 7 Global Employee Resource Groups (ERGs)

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Responsibilities:

Prospect into new business units of your targeted customer accounts , build and maintain a pipeline while owning the sales cycle from start to finish.

Drive awareness of Mixpanel as a solution within the marketplace and handle inbound requests from interested prospects.

Maintains accurate Salesforce records related to New Business opportunities, and delivers accurate weekly forecasts related to revenue targets.

Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments.

Sell with a long-term consultative approach.

Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal.

Intimately understand Mixpanel's competition as well as technology partners to consult customers on our place in the broader analytics market.

We're looking for someone who has:

At least 3-5 years of experience in full-cycle SaaS Sales from prospect to close, as an Account Executive.

Strong outbound prospecting experience and have had success at closing net new business deals.

Experience running a consultative sales process for complex, multi-product SaaS solutions , comfortable navigating multiple stakeholders and driving strategic conversations beyond a single use case.

Effective communicator and collaborator , you have strong interpersonal skills and are an excellent team player.

Adaptability , you understand that change is constant, and you embrace it.

Agility and resilience , you move quickly and encourage continued improvement.

Strong work ethic, desire to learn, and a drive to excel.

Curious about the product analytics space.

Bonus points for:

Experience selling into high-growth tech companies.

Experience with Mixpanel or other analytics tools.

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Mixpanel turns data clarity into innovation. We're trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber. Our AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

As a Senior Enterprise Account Executive, you'll help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. Collaboration is key, between building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

Responsibilities

• Generate new business opportunities by selling directly to top-tier digital analytics decision-makers, including C-level executives and other key stakeholders
• Manage 6-18 month sales cycles, including dovetailing customer requirements with Mixpanel's current or adjusted roadmap
• Manage customer-side buying process from discovering/creating need, building a business case to a formal RFP, procurement to IT security review process
• Maintain accurate Salesforce records related to New Business opportunities, and deliver accurate weekly forecasts related to revenue targets
• Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments
• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal to understand strategic enterprise use cases and needs

We're Looking For Someone Who Has

• At least 7+ years of experience in full-cycle SaaS Sales from prospect to close, as an Enterprise Account Executive or additional related cross-functional roles
• Proven ability to succeed in outbound prospecting and generating significant deal outcomes
• Passion for communicating value to senior stakeholders and figuring out creative ways to create success and develop new business cases internally for the company
• Proven ability to own, manage a complex sales cycle utilizing solution and value selling approaches resulting in exceeding activity, pipeline, and revenue targets
• Expertise in engaging with C-level executives and managing high-stakes negotiations
• Effective communicator and strong presenter, with proven ability to influence senior stakeholders
• Adaptability , you understand that change is constant, and you embrace it
• Agility and resilience , you move quickly and encourage continued improvement
• Strong work ethic, desire to learn, and a drive to excel
• Curiosity for the product analytics space

Bonus Points For

• Experience selling into high-growth tech companies
• Experience with Mixpanel or other analytics tools
• Specific industry experience in one or more of the following: Tech, Fintech, ecomm/retail, M&E

Compensation

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.

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.

Mixpanel Compensation Range: $267,750-$362,250 USD

Benefits 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

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.

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.

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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.

As a Senior Enterprise Account Executive, you'll help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. Collaboration is key, between building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

Responsibilities

• Generate new business opportunities by selling directly to top tier digital analytics decision makers, including C-level executives and other key stakeholders
• Manage 6-18 month sales cycles, including dovetailing customer requirements with Mixpanel's current or adjusted roadmap
• Manage customer-side buying process from discovering / creating need, building a business case to a formal RFP, procurement to IT security review process
• Maintains accurate Salesforce records related to New Business opportunities, and delivers accurate weekly forecasts related to revenue targets.
• Approach all deals with a customer focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments.
• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal to understand strategic enterprise use cases and needs
• Intimately understand Mixpanel's competition as well as technology partners to consult customers on our place in the broader analytics market.

We're Looking For Someone Who Has

• At least 7+ years of experience in full cycle SaaS Sales from prospect to close, as an Enterprise Account Executive or additional related cross-functional roles
• Proven ability to succeed in outbound prospecting and generating significant deal outcomes
• Passion for communicating value to senior stakeholders and figuring out creative ways to create success and develop new business cases internally for the company
• Proven ability to own, manage a complex sales cycle utilizing solution and value selling approaches resulting in exceeding activity, pipeline and revenue targets
• Expertise in engaging with C-level executives and managing high-stakes negotiations.
• Effective communicator and strong presenter, with proven ability to influence senior stakeholders
• Adaptability , you understand that change is constant, and you embrace it.
• Agility and resilience , you move quickly and encourage continued improvement.
• Strong work ethic, desire to learn, and a drive to excel.
• Curiosity for the product analytics space.

Bonus Points For

• Experience selling into high growth tech companies.
• Experience with Mixpanel or other analytics tools.
• Specific Industry experience in one or more of the following: Tech, Fintech, ecomm/retail, M&E

Benefits 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

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.

By joining Mixpanel, you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

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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 Sales Team

Our Sales team manages the entire sales cycle, helping prospects and existing customers leverage Mixpanel to analyze, measure, and improve their customer experience. The team consists of two roles - Account Executives who bring in new business and Account Managers responsible for nurturing existing customers.

The team specifically covers companies with employee sizes from 1-200, emphasizing high-growth tech companies changing the world around us.

About Mixpanel in Israel

Mixpanel is the best-known and most respected Digital Analytics platform in Israel. With hundreds of paying customers from Israel, from the entire spectrum of industries, we are proud to work with some of the largest and most fascinating customers that have come out of Israel in recent years, including Viber, eToro, Taboola, Fiverr, Monday.com, and many more.

The Israeli market represents one of Mixpanel’s most exciting markets, with a concentration of Tier 1 tech and start-ups and a high focus on VCs. We have witnessed a high level of growth in the Israeli market since we put a team on the ground in November 2021.

For this reason, we are looking to add a Sales representative in the territory. This Sales representative will work under the direction of our Country Manager in Israel and be part of a team on the ground in Tel Aviv.

About the Role

As an Account Executive II, you'll help our future customers understand the power of Mixpanel as the best-in-class digital analytics solution in targeted markets: Greece, Cyprus, Gibraltar, and Malta. Collaboration is critical, from building solid relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

You'll leverage your prospecting skills selling SaaS to tech companies alongside solid knowledge of Mixpanel's product and ecosystem to close new business, powering the next generation of innovative companies in these fast-growing European markets.

Responsibilities

• Half of your time will be spent closing new business opportunities, and half of your time will be spent developing a pipeline into stage two opportunities.

• Prospect into specific targeted accounts , build and maintain a pipeline while owning the sales cycle from start to finish.

• Drive awareness of Mixpanel as a solution within the marketplace and handle inbound requests from interested prospects.

• Maintains accurate Salesforce records related to New Business opportunities and delivers accurate weekly forecasts related to revenue targets.

• Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments.

• Sell with a long-term consultative approach.

• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal.

• Intimately understand Mixpanel's competition and technology partners to consult customers on our place in the broader analytics market.

We're Looking For Someone Who Has

• Minimum two years of related experience in full-cycle SaaS Sales from prospect to close, as an Account Executive or related cross-functional role like Sales Engineer.

• Strong outbound prospector and have successfully closed net new business deals.

• Effective communicator and collaborator , you have strong interpersonal skills and are an excellent team player.

• Adaptability , you understand that change is constant and embrace it.

• Agility and resilience , you move quickly and encourage continued improvement.

Strong work ethic, desire to learn, and a drive to excel.

• Curious about the product analytics space.

Bonus Points For

• Experience selling to high-growth tech companies.

• Experience with Mixpanel or other analytics tools.

• Experience selling in Greece, Cyprus, Gibraltar, Malta - Greek speaker

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Mixpanel turns data clarity into innovation. Its AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

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 organisation.

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.

• Prioritise & 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 synthesise 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 prioritising 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.

Compensation

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.

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 USD

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We're looking for a Data Scientist to join our team at Stripe, where you'll work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams.

As a Data Scientist at Stripe, you'll play a crucial role in optimizing our systems and leveraging data to make strategic business decisions. You'll work with a variety of data science roles and teams across Stripe, and will be aligned to the most relevant team based on your background.

Responsibilities

• Work closely with a specific part of the business to optimize our systems and leverage data to make strategic business decisions
• Use techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics to ensure that the company strategy, products, and user interactions make smart use of our rich data
• Partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• PhD + 3 years, MS/MA + 6 years or BS/BA 8 years of data science/quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom

Preferred qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

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Mixpanel is a digital analytics platform that helps companies understand user behavior and track company success metrics.

As a Senior Enterprise Account Executive, you will help our future customers understand the power of Mixpanel as the best-in-class product analytics solution in the market. Collaboration is key, between building strong relationships with prospects and key stakeholders to working with internal cross-functional partners like Solutions Engineering to win together as one team.

Responsibilities

• Generate new business opportunities by selling directly to top-tier digital analytics decision-makers, including C-level executives and other key stakeholders
• Manage 6-18 month sales cycles, including dovetailing customer requirements with Mixpanel's current or adjusted roadmap
• Manage customer-side buying process from discovering/creating need, building a business case to a formal RFP, procurement to IT security review process
• Maintain accurate Salesforce records related to New Business opportunities, and deliver accurate weekly forecasts related to revenue targets
• Approach all deals with a customer-focused mentality. Develop relationships and uncover the needs of multiple key stakeholders to find value moments
• Collaborate cross-functionally with key partners such as Solutions Engineering, Customer Success, Product, Marketing, and Legal to understand strategic enterprise use cases and needs

We're Looking For Someone Who Has

• At least 7+ years of experience in full-cycle SaaS Sales from prospect to close, as an Enterprise Account Executive or additional related cross-functional roles
• Proven ability to succeed in outbound prospecting and generating significant deal outcomes
• Passion for communicating value to senior stakeholders and figuring out creative ways to create success and develop new business cases internally for the company
• Proven ability to own, manage a complex sales cycle utilizing solution and value selling approaches resulting in exceeding activity, pipeline, and revenue targets
• Expertise in engaging with C-level executives and managing high-stakes negotiations
• Effective communicator and strong presenter, with proven ability to influence senior stakeholders
• Adaptability , you understand that change is constant, and you embrace it
• Agility and resilience , you move quickly and encourage continued improvement
• Strong work ethic, desire to learn, and a drive to excel
• Curiosity for the product analytics space

Bonus Points For

• Experience selling into high-growth tech companies
• Experience with Mixpanel or other analytics tools
• Specific Industry experience in one or more of the following: Tech, Fintech, ecomm/retail, M&E

Compensation

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.

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.

Mixpanel Compensation Range: $267,750-$362,250 USD

Benefits 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

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.

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.

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We're looking for a Data Scientist to join our team at Stripe. As a Data Scientist, you will work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams to optimize our systems and leverage data to make strategic business decisions.

Responsibilities

• Partner with cross-functional teams to ensure that our users, products, and business have the models, data products, and insights needed to make decisions and grow responsibly.
• Analyze data, build machine learning and statistical models, and run experiments to drive impact.
• Influence how our products work, how our business works, and how our go-to-market motions operate.

Requirements

• PhD + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience.
• Proficiency in SQL and a computing language such as Python or R.
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation.

Preferred qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance.
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.
• Experience with distributed tools such as Spark, Hadoop, etc.

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This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis.

Responsibilities:

• Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators.
• Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs.
• Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth.
• Write complex SQL queries and use Python to perform advanced data analysis.
• Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions.
• Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data.
• Communicate your findings and recommendations effectively to both technical and non-technical audiences.

Qualifications:

• Proven experience as a Data Analyst or in a similar role, with a focus on product analytics.
• 3-5 years of experience.
• Expert-level proficiency in SQL.
• Strong experience with data visualization tools, particularly Tableau.
• Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt.
• Advanced analytics, data science, AI/ML experience and techniques are a plus.
• A strong analytical mindset with the ability to think critically and solve complex problems.
• A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.
• Excellent communication and collaboration skills.

Added Advantage:

• Experience with other BI tools like Looker.
• Experience with statistical analysis and machine learning.
• Familiarity with product analytics platforms like Amplitude or Mixpanel

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As a Senior Data Scientist on Plaid's Fraud Data team, you will analyse customer and network traffic to understand how Protect performs across different segments and use cases. You'll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners.

Responsibilities:

• Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
• Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
• Analyse complex datasets to uncover clear, actionable insights that shape product direction.
• Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.

Qualifications:

• 5+ years of total experience, including at least 2–3 years working deeply with product analytics, machine learning. experimentation, or data-driven products.
• Strong proficiency in SQL and Python.
• Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
• Skilled in designing, building, and maintaining dashboards and core product performance metrics.
• Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
• Excellent communicator with strong stakeholder-management skills across diverse teams.
• Background in fraud or risk domains , Nice to have.
• Familiarity with data-insights products and a solid understanding of model-performance metrics , Nice to have.
• Exposure to customer-facing or GTM-facing analytics , Nice to have.

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This is the founding hire for product analytics at Hebbia. As a data scientist, you will define what our core product metrics are: what counts as an active user, what engagement actually means, what signals correlate with retention.

This is not a dashboarding role. The goal is to shape product decisions with data, not just report on them. You will identify which workflows drive repeat usage, where users drop off, what features move engagement, and what differentiates power users from casual users across our enterprise customer base.

The role sits at the intersection of analytics engineering, product analytics, and data science. You will build the infrastructure and do the analysis. Define the metrics, build the pipelines, create the dashboards, and use what you built to inform the roadmap.

Responsibilities

• Define and implement Hebbia's core product metrics from scratch: active users, engagement, retention, feature adoption, account health. Build the canonical definitions the entire company uses.
• Design and build the product analytics infrastructure: fact tables, clean data models, and the analytics layer that sits on top of our product data.
• Build and maintain executive and product dashboards that leadership and product teams use to make decisions.
• Write DAGs, transforms, and data pipelines that support analytics. Work with engineering to instrument the product so usage data is captured correctly.
• Analyze customer behavior across our B2B customer base: account-level usage patterns, workflow adoption, expansion signals, and churn risk indicators.
• Inform the product roadmap using data. Identify friction in user flows, surface feature adoption patterns, and highlight opportunities for product improvement.
• Partner with product managers and engineers to translate product questions into measurable data and structured experiments.
• Establish data quality standards and documentation so the metrics layer you build is trusted and maintained.

Who You Are

• 3+ years of experience in product analytics, analytics engineering, or data science at a B2B SaaS company or high-growth startup
• Strong in SQL and Python. You can write production-quality transforms, not just ad hoc queries.
• Experience with modern data stack tools: dbt, Airflow, Snowflake, BigQuery, or similar. You understand data modeling and warehouse architecture.
• You have built dashboards and reporting that product teams and leadership actually use to make decisions
• You understand B2B product analytics: account-level metrics, multi-user workflows, enterprise engagement patterns, and why B2B retention analysis is different from consumer
• You translate ambiguous product questions into structured analyses. You do not wait for someone to hand you a spec.
• Strong product intuition. You care about why users behave the way they do, not just what the numbers say.
• Clear communicator. You can present findings to engineers, product managers, and executives with equal effectiveness.

Compensation

The salary range for this position is set between $180,000 to $260,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications.

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You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.

Responsibilities:

• Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.
• Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.
• Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.
• Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.
• Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.
• Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.
• Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.

Requirements:

• 3+ years of experience in Commerce, web, or digital analytics
• Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.
• Proven experience analyzing consumer-facing digital products or eCommerce platforms.
• Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.
• Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).
• Experience working with large, complex, and multi-source datasets.
• Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.
• Strong attention to detail and ability to manage multiple projects simultaneously.

Nice to have:

• Experience with AI-assisted analytics, forecasting, or anomaly detection.
• Knowledge of product analytics, personalization, or recommendation systems.
• Exposure to server-side tracking, event schemas, and data contracts.
• Experience working in global or multi-region eCommerce environments.
• AI-ecommerce experience

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This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems.

Key Responsibilities

Growth Infrastructure & Systems

• Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
• Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.).
• Develop automated workflows for user onboarding, campaign delivery, and performance tracking.

Experimentation & Optimization

• Support A/B testing frameworks and integrate them into production systems.
• Enable reliable data collection and evaluation for growth experiments.
• Automate deployment and rollout of growth feature flags and tests.

Cross-Functional Collaboration

• Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives.
• Translate business goals into technical specifications and system designs.
• Provide guidance on performance, reliability, and scalability trade-offs.

Monitoring & Reliability

• Implement monitoring and alerting for growth infrastructure services.
• Troubleshoot production issues and optimize for uptime and performance.
• Ensure data quality and consistency for reporting and decision-making.

Continuous Improvement

• Evaluate new tools, frameworks, and platforms that accelerate growth engineering.
• Drive best practices in infrastructure as code, CI/CD, and automated testing.
• Train and mentor teammates on growth infrastructure principles.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field.
• 3+ years of experience building backend or infrastructure-focused services.
• Strong programming skills in languages such as Python, Go, or JavaScript.
• Experience with cloud platform infrastructure (e.g., AWS, GCP, Azure).
• Solid understanding of data pipelines, ETL processes, and databases.
• Experience with CI/CD systems and Infrastructure as Code (Terraform, CloudFormation, etc.).
• Experience with experimentation platforms (StatSig, Segment, LaunchDarkly, or in-house).

Nice to Have

• Familiarity with growth metrics and product analytics tools (Amplitude, etc.).
• Experience designing and scaling A/B testing systems and feature flag orchestration.
• Proficient with containerization (Docker, Kubernetes) and distributed systems.
• Knowledge of observability tools (Datadog, etc).

What Success Looks Like

• Growth initiatives that deploy reliably and quickly with minimal manual intervention.
• High-fidelity data pipelines that enable real-time insight into key growth metrics.
• Growth teams are empowered to run experiments and launch campaigns without heavy infrastructure support.

Why Join Us?

• This is a rare opportunity to be among the first engineers on a newly formed Growth team, with significant ownership and influence over both technical direction and product outcomes.
• You’ll be working on a product that scaled from ~2M to 250M users in under a year, operating in a massive and still largely untapped market.
• The impact of your work will be visible, measurable, and foundational to how the company grows next.

Full-Time Employee Benefits Include:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Dive deep into our ecosystem across awareness, acquisition, retention, revenue, and referral to uncover opportunities for growth and impact.
• Conduct in-depth analyses to guide strategic decisions and identify new opportunities.

What you need

• Expertise in product analytics, with a strong foundation in SQL/Python and familiarity with analytics tools across the data stack.

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