Lifecycle Growth Consultant

About the role

The Lifecycle Growth Consultant is a senior lifecycle operator who owns the strategy, systems, and revenue behind customer journeys across Mechanism's portfolio of direct-to-consumer companies. You are not waiting for a brief and you are not building another abandoned-cart flow from a template, you are a senior-owner engagement brought in to diagnose, design, and build the lifecycle engine that compounds revenue across a portfolio fast. Given a business goal, you develop the strategy, build the system, and own the result, whether that means designing a new retention strategy, repairing deliverability, warming a domain, rebuilding customer segmentation, standing up a sophisticated experimentation program, or identifying an entirely new way to increase repeat purchase behavior. The right person understands DTC deeply, stays ahead of what is changing, and knows how to turn Shopify, Klaviyo, customer data, and AI into measurable growth, operating with autonomy and accountability for outcomes rather than hand-offs. This role sits at the center of Mechanism's system for building profitable, reinvesting companies with speed, precision, and minimal waste.

Key facts

What you'll do

• Audit existing lifecycle programs, customer journeys, account architecture, and performance to uncover high-leverage opportunities.
• Build lifecycle strategies tied directly to revenue, retention, and customer behavior for Mechanism's portfolio companies.
• Design and launch sophisticated email and SMS journeys that move beyond standard out-of-the-box flows.
• Improve deliverability through domain warming, list hygiene, sender-reputation management, and technical troubleshooting.
• Develop segmentation strategies based on purchase behavior, lifecycle stage, product usage, engagement, and predicted customer value.
• Create high-cadence testing programs across messaging, offers, timing, creative, frequency, and journey structure.
• Use Shopify, Klaviyo, and adjacent platforms to connect customer behavior with lifecycle execution and activation.
• Partner with growth, creative, engineering, and company teams to ship campaigns and technical improvements quickly and decisively.
• Use Claude and other AI tools to accelerate research, analysis, personalization, copy development, QA, documentation, and experimentation.
• Translate performance data into clear decisions about what to scale, change, or stop based on empirical insight.
• Codify successful strategies into reusable playbooks, prompts, templates, and automations that compound value.
• Provide concise written communication and clear artifacts so that centralized teams can move fast without you.
• Own end-to-end lifecycle execution while collaborating with centralized support across growth, engineering, design, creative, analytics, and operations.
• Drive measurable lifts in repeat purchase rate, customer lifetime value, engagement, and retention through system-level improvements.

Requirements

You must have direct, hands-on experience designing and owning lifecycle strategy and execution in a DTC environment. You must be fluent in Shopify and Klaviyo ecosystems, including event-based architecture, data modeling, and advanced segmentation. You must understand deliverability fundamentals, including domain authentication, list hygiene, and sender reputation management in commercial email and SMS. You must be comfortable working with customer data, behavioral analytics, and experimentation frameworks to drive iterative improvements at scale. You must have a track record of using AI tools like Claude to accelerate analysis, copy, and system-building without sacrificing rigor. You must be able to read performance data, diagnose root causes, and translate findings into concrete actions and documented playbooks. You must operate with extreme ownership, shipping tested systems and playbooks rather than theoretical recommendations. You must communicate clearly in writing and async, producing structured artifacts that enable fast alignment with centralized teams. You must be comfortable collaborating across functions while independently owning outcomes in a portfolio context. You must be based in the United States and able to work a flexible part-time schedule of 15-20 hours per week with variable hours as business needs require.

Nice to have

Experience working with multiple direct-to-consumer brands across different lifecycle stages.

Deep experience with experimentation and personalization frameworks such as Optimizely, Google Optimize, or server-side testing.

Strong familiarity with domain warming processes and email deliverability best practices beyond basic setup.

Background in building reusable playbooks, automation templates, and operational documentation.

Familiarity with adjacent platforms and tools such as Klaviyo Connectors, Segment, server-side tracking, or CDPs.

Experience coaching non-experts on lifecycle best practices and maintaining quality standards across execution.

Practical notes

This is a freelance, part-time engagement at $130-$150 per hour, requiring 15-20 hours per week. The role is fully remote with work location restricted to the United States. There are no specified hours beyond the weekly engagement range, and no travel or visa requirements apply.