Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job DescriptionKey Responsibilities
- Lead client-facing incrementality testing and experimentation initiatives across paid and owned marketing channels
- Serve as a strategic partner to marketing, measurement, and analytics stakeholders on testing design, interpretation, and decision-making
- Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality
- Manage multiple concurrent testing workstreams in a fast-paced embedded client environment
- Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights
- Provide leadership and mentorship to junior team members while helping drive rigor and operational excellence across the testing program
- 5+ years of experience in marketing experimentation, incrementality testing, or related analytics roles
- Expertise in statistical methods and experimental design (A/B testing, statistical significance, power analysis, etc.)
- Demonstrated ability to communicate complex statistical concepts to non-technical stakeholders
- Strong project management skills with ability to manage multiple workstreams simultaneously
- Experience building and leading analytics teams or mentoring junior analysts
Preferred Qualifications
- Proficiency with Python, R, or SQL for data analysis and automation
- Experience with AI/ML tools and prompt engineering for workflow automation
- Familiarity with marketing measurement platforms and analytics tools
- Experience working in embedded client or consulting environments
Key Competencies
- Statistical Rigor: Commitment to methodological excellence and avoiding bias in experimental design
- Stakeholder Management: Ability to navigate complex organizational dynamics and drive alignment
- Innovation & Automation: Openness to leveraging AI and new technologies to improve team efficiency
- Leadership: Demonstrated ability to influence without authority and develop team talent
- Adaptability: Thrives in fast-paced, ambiguous environments with changing priorities
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Skills Required
- 5+ years of experience in marketing experimentation, incrementality testing, or related analytics roles
- Expertise in statistical methods and experimental design (A/B testing, statistical significance, power analysis)
- Demonstrated ability to communicate complex statistical concepts to non-technical stakeholders
- Strong project management skills with ability to manage multiple workstreams simultaneously
- Experience building and leading analytics teams or mentoring junior analysts
- Proficiency with Python, R, or SQL for data analysis and automation
- Experience with AI/ML tools and prompt engineering for workflow automation
- Familiarity with marketing measurement platforms and analytics tools
- Experience working in embedded client or consulting environments
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
