Maze is a Series B-funded startup building the future of product research for modern teams. We're backed by some of the world's best funds and are a fully remote team working across 35+ countries.
Maze is the user research platform that empowers any company to build the right products faster, by making user insights available at the speed of product development.
We believe that companies that win are incorporating user insights at every stage of product development, where the organization is empowered to conduct research no matter what their maturity, and that Research can focus on high-value questions with the greatest impact.
Built for ease of use, Maze allows researchers, designers, and product managers to collect and share user insights when needed most, putting them at the center of every decision.
With Maze, companies can recruit the right participants effortlessly, conduct research autonomously, and analyze user insights that drive actual decisions.
As the first Product Analytics hire, you will play a pivotal role in shaping our approach to data, providing actionable insights, and partnering with teams across the company. This is a unique opportunity to work in a high-growth environment, set the direction for the analytics function, and make a significant impact on our product and business.
1. Establish the Analytics Foundation
Evaluate and optimize our analytics tools and recommend enhancements to the data stack.
Collaborate with engineering to ensure accurate, clean, and timely data flow across systems.
Define, implement, and document event tracking to capture key user behaviors.
2. Define and Monitor Key Metrics
Develop and track key performance indicators (KPIs) for product success, including North Star metrics, engagement, and retention.
Build dashboards and reports for cross-functional teams to monitor performance and trends.
Conduct funnel and cohort analyses to identify opportunities for optimization.
3. Provide Actionable Insights
Conduct deep-dive analyses to uncover user behavior patterns and inform product development.
Support A/B testing initiatives by designing experiments and analyzing results to validate hypotheses.
Proactively surface insights and trends to influence decision-making across the organization.
4. Build a Data-Driven Culture
Advocate for the use of analytics to inform decisions across the company.
Educate teams on analytics tools and processes to enable self-service insights.
Lay the groundwork for scaling the analytics function, including potential future hires.
Experience: 3+ years in product analytics, data science, or a related field; ideally at a SaaS company or startup.
Technical Skills: Proficiency in SQL is required. Experience with analytics tools (e.g., Amplitude, Mixpanel) and visualization tools (e.g., Looker, Omni). Knowledge of Python or R is a plus.
Data Strategy: Strong understanding of data pipelines, event tracking, and KPI frameworks.
Analytical Mindset: Exceptional ability to extract actionable insights from data and communicate them effectively.
Business Acumen: Understanding of SaaS business models, user engagement metrics, and growth levers.
Communication: Strong collaboration and communication skills to work with technical and non-technical stakeholders.
Ownership: A self-starter who thrives in ambiguity and is excited to build from the ground up.
At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we'd still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture.
Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package.
We typically target the low - mid point of the salary range to allow room for growth within the role. Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations.
Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you'll have the unique opportunity to directly impact success and help shape the future of Maze.
Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there's finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge.
Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions
Health insurance with international coverage, vision, and dental: 100% of the team member premium paid
For some locations, coverage options vary, please see our benefits pages for more information
Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources
Life and Disability Insurance, 100% of the team member premium paid
Flexible time off
Meaningful equity
Company retreats, fully paid for by Maze
New MacBook (laptop), paid for by Maze
Paid Family leave: 16 weeks for birth or adoptive parents
$500/month to be used for dependent health insurance coverage
If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever!
$1,500 remote work setup fund to ensure you can set up a productive work space
Flexible work schedule where you manage your own working hours
Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more
Virtual social engagements randomly throughout the year
SWAG, we have some really cool swag
Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more
Check out all of our a-maze-ing benefits here.
We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.
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