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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Key Responsibilities:

• Team Leadership & Mentorship: Hire, lead, coach, and develop a high-performing team of product and marketing analysts.
• Analytics Strategy & Execution: Own the company's marketing measurement, experimentation, and insight generation for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV.
• Hands-On Analysis: Perform deep-dive analyses to uncover insights that inform product and business decisions.
• Cross-Functional Collaboration: Act as a strategic thought partner to identify opportunities, measure success, and optimize Marketing and product performance.

Requirements:

• 10+ years of experience in analytics, with at least 2 years in a people management role.
• Strong technical skills in SQL, Python, data visualization tools (Amplitude, Tableau) and experimentation.
• Has direct experience in marketing analytics using Media Mix Models (MMM), difference-in-differences and other causal inference techniques.
• Proven track record of leading high-performing marketing or product analytics teams.
• Excellent communication and storytelling skills.
• Ability to balance strategic thinking with hands-on execution.

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As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

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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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You'll design, build, and iterate personalized, automated programs across email, SMS, push, in-app messaging, and other channels to turn curious users into loyal, high-value Grok subscribers , driving engagement, adoption, retention, expansion, and reduced churn.

This role sits at the intersection of growth marketing, product, data, and customer success. You'll combine behavioural insights, segmentation, experimentation, and creative storytelling to measurably increase customer lifetime value, net revenue retention, and overall subscription growth.

Responsibilities:

• Own end-to-end lifecycle strategy and execution: map customer journeys, define key stages (onboarding, activation, habit formation, expansion, renewal, win-back), and build multi-channel automated flows

• Develop and launch high-impact campaigns and nurtures (welcome series, product education, milestone triggers, re-engagement, upsell/cross-sell, churn prevention, and subscription reactivation)

• Build and refine audience segments using behavioural, usage, and subscription data to deliver hyper-personalized experiences

• Partner closely with product, data/analytics, customer success, and engineering teams to align on triggers, messaging, and technical implementation

• Set up, monitor, and optimize experiments (A/B, multivariate) to continuously improve open rates, click-through, conversion, retention, expansion revenue, and churn metrics

• Analyze performance using SQL, Amplitude/Mixpanel, and other tools to identify drop-offs, opportunities, and ROI; report on key KPIs (activation rate, D30/D90 retention, expansion revenue, churn rate, LTV uplift, NRR)

• Collaborate on content creation (copy, creative assets) and ensure brand voice consistency across all lifecycle touchpoints

• Maintain and evolve the lifecycle marketing roadmap in line with product launches, seasonal campaigns, and business priorities

Basic Qualifications:

• 4–7+ years of experience in lifecycle marketing, retention/growth marketing, CRM marketing, or customer marketing (B2C e-commerce, SaaS, fintech, or consumer tech strongly preferred)

• Proven track record owning lifecycle programs that drove measurable improvements in retention, engagement, expansion, or revenue (please share case studies or results in your application)

• Hands-on expertise with marketing automation & CRM platforms (Braze, Iterable, Customer.io, Klaviyo, or similar)

• Strong analytical skills , comfortable writing SQL for cohort analysis, funnel deep-dives, and behavioural metrics

• Experience building and testing multi-channel journeys (email + SMS + push + in-app)

• Excellent copywriting and storytelling skills , you can craft compelling, customer-centric messaging that converts

• Data-driven mindset with a bias for action and rapid iteration

Preferred Skills and Experience:

• Experience with advanced segmentation and personalization using tools like Segment, mParticle, or Census

• Background in product-led growth (PLG) environments or hybrid PLG/subscription models

• Familiarity with loyalty/rewards programs, referral mechanics, or subscription optimization (pricing, billing, upgrades/downgrades)

• Exposure to AI-driven personalization or predictive churn modelling

• Knowledge of web/mobile analytics (Google Analytics 4, Amplitude, Mixpanel) and experimentation platforms (Optimizely, VWO, Eppo)

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As a Senior Data Analyst on the Product Analytics team, you will be a strategic thought partner with substantial autonomy, shaping how we use data to build products that improve the lives of our members. You will work side-by-side with product managers, engineers, clinicians, and business leaders to uncover insights, influence roadmaps, and measure impact.

The Product Analytics team develops the reports, tools, and insights that drive product decisions across Omada. Using data from app engagement, clinical outcomes, behavioral health indicators, and claims, you will help product and engineering teams identify and solve the most important challenges facing our customers and members. In this role, you will own high-visibility analytics workstreams end-to-end,from defining the problem to communicating recommendations to executives.

Key job responsibilities include:

• Own the data architecture and data mapping strategy that powers our product reporting, ensuring teams can self-serve reliable insights.
• Deliver key performance insights through regular and ad-hoc analyses that guide investment decisions and the evolution of Omada programs.
• Lead product experimentation, including test design, sample size determination, A/B testing, and clear communication of results and trade-offs.
• Design, build, and maintain intuitive Amplitude and Tableau dashboards (or similar BI tools) that become the source of truth for product teams.
• Partner closely with data engineering and other data teams to improve data quality, standardize definitions, and scale reporting across the organization.
• Define and refine operational processes, and support system enhancements that make analytics and reporting more efficient and impactful.
• Collaborate across analytics, data science, engineering, clinical, and product teams to drive aligned, data-informed decisions.
• Explore and integrate AI-driven approaches into product analytics use cases to level up how we generate insights and automate decision support.

About you:

• The ideal candidate should have at least 2+ years of deep expertise in product or mobile analytics, including user behavior analysis, ideally 7+ years of experience.
• Expert SQL skills with strong experience in designing and developing new queries and reports.
• Experience with A/B testing and statistical measurement.
• Ability to analyze various data sets, and develop succinct key metrics.
• Strong relational database design/development skills.
• Excellent problem-solving, interpersonal, and communication skills.
• Track record of working on multiple projects under aggressive deadlines.
• Bachelor's degree in Computer Science, Engineering, or Mathematics.
• Skills: Data Analysis and Visualization, Amplitude, Tableau, SQL, ETL, Databases, Data model, and Excel.

Your impact:

• Your work will directly shape how Omada designs, launches, and iterates on member experiences. You will identify new ways to drive engagement and clinical outcomes, support new products and features, and demonstrate the value of existing innovations.

You will love this job if you are:

• A highly motivated, self-driven professional who thrives with autonomy and ownership.
• Excited to work closely with product managers, engineers, clinicians, and business stakeholders to tell compelling stories through data.
• Energized by solving complex data challenges and building scalable solutions that others rely on every day.

Bonus points for:

• Knowledge of additional coding languages (Python or R).
• Advanced experience in data visualization.
• Background in healthcare and experience with PHI.
• Knowledge of population health metrics.

Benefits:

• Competitive salary.
• Remote-first work-from-home culture.
• Flexible Time Off to help you rest, recharge, and connect with loved ones.
• Health, dental, and vision insurance (and above-market employer contributions).
• ...and more!

It takes a village to change healthcare. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

• Start with Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
• Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
• Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
• Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
• Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
• Remember Why We're Here. We push through the challenges of changing healthcare because we know the destination is worth it.

About Omada Health:

Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada's multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale. With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada's approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms.

For more information, visit: https://www.omadahealth.com/

Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Below is a summary of salary ranges for this role in the following geographies:

• California, New York

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You'll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow's dashboards.

Responsibilities:

• Spin up lightweight client libraries, demo apps, or event microsites in a few hours.
• Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.
• Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).
• Our content consistently drives qualified sign-ups and sparks industry conversations.
• Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it,and ship fast.”
• Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap,and we mostly just say “Yes.”

Nice to have:

• Prior experience in PLG or developer-tool startups
• Familiarity with growth analytics stacks
• A portfolio of technical writing, open-source libs, or side projects

Compensation:

$170,000 - $220,000 + equity + comprehensive benefits package

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We are seeking a highly technical, data-driven Growth Engineer to help scale our product and expand key user metrics across acquisition, activation, retention, and monetization. Growth Engineering sits at the intersection of engineering, product, and marketing—leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact.

What You’ll Do

• Drive Experimentation & Optimization: Design, implement, and analyse rapid A/B and multivariate tests to validate hypotheses and improve key KPIs. Identify bottlenecks in user funnels and develop technical solutions to improve conversion rates throughout the user lifecycle.

• Build and Scale Growth Features: Build growth-oriented product features such as onboarding flows, referral systems, and automated engagement loops. Develop scalable code and infrastructure that supports growth initiatives and experimentation frameworks.

• Leverage Data & Metrics: Collaborate with data teams to instrument tracking, build dashboards, and derive insights from user behaviour data. Use SQL and analytics tools to deeply analyse cohorts, engagement metrics, and experiment outcomes.

• Cross-Functional Collaboration: Partner closely with product managers, designers, marketers, and data scientists to align on growth goals and execution plans. Translate business goals into technical requirements and implement pragmatic solutions that drive sustainable growth.

• Continuous Innovation: Stay updated on industry trends and growth-oriented technologies and propose new tactics to accelerate growth. Automate repetitive tasks and build internal tools to empower faster experimentation and execution.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience).
• 3+ years of professional software engineering experience.
• Strong programming skills (e.g., Node, Python, JavaScript/TypeScript, Go).
• Experience with data analysis and database query languages (e.g., SQL).
• Familiarity with instrumentation, analytics tools (e.g., Amplitude), and experimentation frameworks.
• Comfort with designing and interpreting experiments grounded in statistical thinking.

What Success Looks Like:

• Measurable improvements in user acquisition, onboarding, retention, and activation via experiments.
• Scalable, well-instrumented growth capabilities that reduce manual effort and increase velocity.
• Growth strategies and systems that become integrated into product development and long-term planning.

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.

• Impact how engineering and product teams scale solutions for millions of users.
• Competitive compensation and benefits tailored to growth-focused engineers.

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About the role

As an Analytics Engineer, you'll be a key early member of our data function, responsible for building and evolving the analytics foundations that power product decision-making across the company. You'll work closely with Product, Analytics, and Engineering to turn raw product data into trusted, well-defined datasets, metrics, and data products that scale with the business.

What you'll be doing

• Partner with Product, Analytics, and Engineering to understand data needs and translate ambiguous questions into clear, scalable data models

• Define, build, and maintain core dbt models that transform raw product data into canonical, well-documented datasets

• Own metric definitions and transformation logic to ensure consistency, accuracy, and trust across reporting and analysis

• Establish and uphold data quality standards, testing, and expectations around freshness and reliability

• Work closely with Product Analysts to enable faster, higher-quality insights and decision-making

• Support data consumption in tools like Amplitude and Omni, ensuring data is intuitive and easy to self-serve

• Act as a subject-matter expert for analytics engineering, guiding best practices and helping others solve data problems

• Contribute to shaping the future direction of our data stack as product complexity and scale increase

About the setup

• ⚒️ Stack: dbt, Snowflake, Amplitude, Omni

• 🌱 Early, high-impact role with real ownership over the analytics layer

• 🤝 Highly collaborative environment with product- and data-savvy stakeholders

• 🚀 Outcome-focused team where pragmatism and impact matter more than process

We'd love to hear from you if

• You have 6+ years of experience in analytics engineering or data engineering, ideally in product-led or high-growth environments

• You have strong hands-on experience with dbt and enjoy designing modular, scalable, and well-tested data models

• You write advanced, performant, and maintainable SQL

• You can translate business and product requirements into robust data pipelines and metrics

• You have a strong product mindset and understand how data and metrics influence product direction

• You're comfortable operating across the stack and taking ownership end to end when needed

• You care deeply about data quality, clarity, and trust

• You're outcome-driven and can clearly articulate the impact your work has had on teams or the business

Our culture

At Synthesia we're passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.

The good stuff...

• A hybrid or remote-friendly environment for candidates based in Europe. You can work fully remote if you're not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices.

• A competitive salary + stock options

• 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)

• You will join an established company culture with optional regular socials and company retreats

• Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay

• You can participate in a generous recruitment referral scheme if you help us to hire

• The equipment you need to be successful in your role

_You can see more about who we are and how we work here:_ _https://www.synthesia.io/careers_

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