Senior Optimization Manager

WHO ARE WE?

Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

The company is headquartered in vibrant downtown Delray Beach, Florida, with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.

BASE SALARY: $90,000 - $120,000 per year

MUST HAVE:

• Relentless ownership mentality with a high sense of urgency
• Prior experience juggling high advertiser volume across multiple funnels with accountability to both internal and external performance outcomes
• Proven experience optimizing landing pages and campaign funnels for both advertiser KPIs and internal revenue goals
• Advanced analytical skills with the ability to translate large datasets into actionable recommendations
• Strong cross-functional communication skills to align with Yield, Copy, and Media Buying teams
• Proficiency in tracking/reporting platforms (e.g., Google Analytics, Looker) and Excel (pivot tables, VLOOKUPs)
• Creative problem-solving mindset with a strong understanding of marketing psychology and user behavior

EXPERIENCE: 4–6 years in optimization, CRO, or performance marketing, with vertical-strategic and hands-on landing page testing and funnel performance ownership

YOUR ROLE

Drive growth and profitability in the Make Money/Manage Money vertical through data-driven funnel and landing page optimizations. Own testing strategy and execution in close partnership with marketing, creative, and performance teams to scale advertiser outcomes.

Outcomes (Performance Expectations):

• Revenue Optimization: Increase landing page conversion rates and margin by 10% within the first 90 days by executing test-driven optimizations
  Testing Cadence: Launch at least 3 high-impact A/B tests per month across device types and user journeys (e.g., copy, UI/UX, advertiser order)
• Insight Generation: Translates data into clear, actionable hypotheses on user behavior and creates recommendations to improve performance
  Advertiser Alignment: Partner with Yield and Account Management to identify and implement advertiser tests that improve deep-funnel KPIs (e.g., lead quality, LTV)
• Cross-Team Collaboration: Lead bi-weekly syncs with Copywriting and User Acquisition teams to align testing priorities and surface learnings
• Innovation Projects: Drive quarterly initiatives focused on strategic experimentation (e.g., new vertical pages, alternative funnel paths, or new targeting angles)
• Vertical Leadership: Take full ownership of assigned offer/advertiser strategy and testing roadmap in Make/Manage Money verticals, ideally within 6 months with little to no oversight
• Net-New Growth Impact: Consistently deliver  measurable CVR or LTV gains for net-new advertisers

Competencies:

• Resilient Problem Solver: Maintains focus and poise in high-stakes testing environments; thrives under fast-paced, shifting priorities
• Industry-Savvy: Understands direct response mechanics and high-volume testing environments; able to connect granular optimization decisions to broader business strategy
• Growth-Oriented Operator: Constantly pursuing ways to scale impact through efficiency, creativity, and urgency—not perfectionism
• Curious & Data-Informed: Asks why, seeks patterns, and drives decisions from insights—not just surface metrics
• Organized & Accountable: Manages multiple projects with precision and always meets deadlines
• Collaborative by Default: Thrives in a team environment and brings stakeholders into the problem-solving process early
• Creative Strategist: Able to leverage shifts in copy, layout, or user flow to change behavior meaningfully—blending design thinking with performance goals
• Bias for Action: Doesn’t wait for perfect conditions to test; uses scrappy hypotheses to learn quickly

TOTAL COMPENSATION