Senior AI Growth Enginer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

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.