Head of Growth Engineering, Delivery Manager - DTC Startup

Hyprwork is a fast-growing operator of direct-to-consumer brands in health and wellness. Their flagship brand, Rejuvacare, serves over 400,000 customers primarily in the United States and has scaled 12x in a year to nearly 150 employees across more than 15 countries. The company operates as remote-first and async-first, focusing on accountability.

• Significant experience improving operations of web development, digital production, or growth technology teams.
• Proven record of reducing delivery time and increasing throughput or quality.
• Strong understanding of landing pages, ecommerce funnels, checkouts, upsells, and conversion-focused web production.
• Technical knowledge of HTML, CSS, JavaScript, APIs, analytics, tracking, page builders, and modern web development workflows.
• Experience implementing AI tools or automation in production environments.
• Experience designing intake processes, acceptance criteria, capacity planning, quality control systems, and dependency management.
• Ability to communicate effectively with marketers, copywriters, designers, media buyers, and developers.
• Confidence to challenge unclear or unnecessarily complicated requirements with senior stakeholders.
• Strong analytical skills and bias toward simplification, standardization, and measurable results.
• Experience with direct response ecommerce, Shopify, Checkout Champ, Figma, landing page builders, CRO testing, and marketing analytics is advantageous.
• Must be able to work overlapping the collaboration window of 8:00am to 12:00pm EST.

The Production Operating System:

• Map and redesign workflows from marketing request to production launch, identifying bottlenecks and establishing ownership.
• Define prerequisites for work, set work-in-progress limits, and create production lanes for different types of work.
• Create escalation paths for blockers and changing requirements.

Requirements and Task Definition:

• Build standardized briefs for various digital assets and establish Definition of Ready.
• Translate marketing intent into clear specifications to avoid repeated clarifications.
• Manage requirement changes after development start.

AI-First Production:

• Audit production process for AI and automation opportunities.
• Evaluate and implement AI coding tools, page builders, no-code platforms, reusable components.
• Build workflows to allow non-developers safe building without compromising performance or standards.
• Measure AI impact on cycle time, cost, quality, and throughput.

Dependencies and Capacity:

• Create visibility over workload and capacity of shared resources.
• Sequence work based on availability of copy, graphics, video, development, and approvals.
• Prevent assignment of incomplete work; build capacity planning systems.
• Surface constraints early for reprioritization.

Quality Built Into the Process:

• Introduce developer self-quality control before task submission.
• Create standardized quality checklists and acceptance criteria.
• Implement independent final quality control and automated testing where practical.
• Categorize defects, track root causes, and improve systems to prevent repeated defects.

Team Structure and Capability:

• Lead and raise standards of the production team.
• Decide allocation of work between developers and AI-enabled specialists.
• Coach team on estimation, clarification, self-QC, and AI workflows.
• Build documentation and shared visibility to reduce dependency on individuals.

The Measurement System:

• Build and maintain reporting on cycle time, throughput, quality metrics, cost per page/funnel, and marketing delays.
• Use metrics for system improvement, not just reporting.