Senior AI Growth Enginer

Accountabilities:

• Design, build, and maintain automated customer acquisition systems, including AI-driven outbound and AI SDR workflows.

• Develop enrichment pipelines that combine internal data with relevant third-party signals and other data sources.

• Build and maintain lead routing and lifecycle automation systems.

• Create personalization logic based on audience segments, behavioral signals, and customer lifecycle stages.

• Operate personalization and acquisition workflows reliably and at scale.

• Instrument and integrate customer data, marketing automation, CRM, and experimentation platforms.

• Identify high-propensity customer segments by analyzing quantitative and qualitative data.

• Build models and scoring systems that prioritize acquisition targets and audiences.

• Use AI and automation to enrich customer and audience profiles through data append, signal aggregation, and appropriate web data collection.

• Translate pipeline and growth objectives into automated campaign workflows covering acquisition, onboarding, and account graduation.

• Build experimentation infrastructure for testing messaging, offers, channels, and campaign strategies.

• Analyze experiment results and help convert successful pilots into scalable, evergreen acquisition programs.

• Develop and maintain reporting dashboards covering funnel performance, segment health, and campaign attribution.

• Partner with demand generation and lifecycle marketing leadership to build platforms and systems supporting their programs.

• Collaborate with data and analytics teams to access, clean, structure, and model data for segmentation and measurement.

• Work with marketing operations, product marketing, and sales to align acquisition systems with messaging, territory, and outbound priorities.

• Continuously identify opportunities to automate manual processes and improve acquisition efficiency.

• Contribute to a culture of rapid testing, iteration, measurable outcomes, and continuous improvement.

Requirements:

• Strong experience building automated systems, data-driven growth infrastructure, or comparable technical solutions.

• Hands-on experience with AI-driven automation, audience intelligence, personalization, acquisition systems, or marketing technology.

• Strong analytical skills and the ability to work effectively with quantitative and qualitative data.

• Experience building or working with audience segmentation, scoring, enrichment, or prioritization models.

• Experience integrating CRM, marketing automation, customer data, experimentation, and related technology platforms.

• Ability to design reliable data flows, triggers, pipelines, and automated workflows across multiple systems.

• Experience with experimentation frameworks and using data to evaluate messaging, offers, channels, or acquisition strategies.

• Ability to build reporting and measurement systems that surface funnel performance, attribution, and audience health.

• Strong systems-thinking mindset with a preference for automating repeatable problems rather than handling them manually.

• Entrepreneurial approach with a strong bias toward experimentation, iteration, and measurable business outcomes.

• Ability to operate comfortably in ambiguous, data-rich, and rapidly changing environments.

• Excellent written and verbal communication skills, with the ability to translate technical systems into clear narratives for technical and non-technical stakeholders.

• Strong cross-functional collaboration skills across marketing, sales, data, analytics, and product teams.

• Curiosity and an analytical, rigorous approach to solving complex problems.

• Ability to thrive in a fast-paced, high-growth environment.

• Commitment to continuous learning and adapting as technologies, customer behaviors, and business priorities evolve.

• Must be legally authorized to work in the United States without requiring employment-based immigration sponsorship, both currently and in the future.

Benefits:

• Compensation range of $180,000-$215,000 USD, based on experience.

• A collaborative environment emphasizing respect, honesty, teamwork, and professional growth.

• Culture that values diverse perspectives and experiences.

• Supportive and empathetic team environment.

• Strong emphasis on continuous learning and an “always learning” mindset.

• Opportunity to work on AI-driven systems with direct impact on customer acquisition and growth.

• Encouragement to contribute ideas, experiment, and take ownership of meaningful initiatives.

• Commitment to an inclusive workplace and equal opportunity for qualified candidates.

• Reasonable accommodations available to enable candidates and employees with disabilities to perform essential job functions.

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