Senior Growth Marketing Manager Remote

About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer-centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

The Senior Growth Marketing Manager will manage Quanata’s aggregator and internet lead provider growth strategy and implementations. This role combines performance marketing acumen with product management discipline, ensuring that our marketing systems, data integrations, and bidding models deliver profitable, scalable growth.

This role is uniquely positioned at the intersection of marketing and product development—responsible for building the technical and analytical foundation that powers efficient, scalable acquisition. The ideal candidate will have hands‑on aggregator experience, a deep understanding of the insurance funnel, and the technical fluency to collaborate with data science and engineering teams on system-level improvements.

You’ll define how we leverage data, automation, and experimentation to optimize every step of the aggregator funnel—from lead sourcing and scoring to conversion and lifetime value.

• Manager Aggregator/Internet Lead Provider: Own and optimize Quanata’s aggregator and internet lead provider channel investments, ensuring alignment with business goals, performance targets, and profitability thresholds.
• Bridge Marketing and Product: Partner with Product, Engineering, and Data Science to design and enhance APIs, data pipelines, and automated optimization systems supporting lead delivery, scoring, and bidding.
• Build Analytical Infrastructure: Define measurement frameworks, attribution models, and LTV-driven decision systems that improve how we evaluate aggregator performance.
• Run Advanced Experimentation: Implement A/B and multivariate testing frameworks across creative, pricing, and bidding variables to uncover growth levers.
• Operationalize Data-Driven Growth: Translate model insights (e.g., conversion probability, risk segmentation, DSS scores) into actionable bid and budget strategies.
• Influence and Communicate: Present complex findings clearly and persuasively to executive stakeholders, connecting analytics and engineering insights to growth outcomes.
• Scale Efficiently: Build repeatable playbooks for lead quality improvement, CPA optimization, and channel diversification.

• Master’s degree in a STEM field (e.g., Computer Science, Engineering, Applied Math, Economics, or Data Science) or equivalent experience.
• 7+ years in growth marketing, growth product, or technical acquisition roles, ideally in the insurance, financial services, or aggregator ecosystem.
• Deep hands‑on experience with major insurance aggregators such as Media Alpha, Ever Quote, Jerry, or Policy Genius.
• Advanced analytical and technical fluency—comfortable working with SQL, Looker, Snowflake, and data visualization tools.
• Strong understanding of data architecture, marketing APIs, and attribution systems (e.g., Google Campaign Manager, MMPs, tag management).
• Proven ability to design and execute experiments that inform product development and marketing optimization.
• Experience collaborating closely with engineering and data science teams to operationalize models and automate decisioning.
• Deep understanding of insurance lead funnels, including quoting, binding, and lifetime value economics.
• Strong communication skills—able to bridge technical depth with business clarity.

• Experience in auto or personal lines insurance, especially within a multi-channel or digital insurance marketing environment.
• Exposure to machine learning-driven bidding systems or predictive lead scoring models. Familiarity with Python or similar tools for data manipulation and modeling.
• Prior experience scaling growth through product-led acquisition or data platform integration.

$185,000 - $215,000*

* Please note that the final salary offered will be determined based on the selected candidate’s skills, experience, and the internal…