Join LiveWirePicks

Role Overview

As an AI / ML Engineer, you will help design and build the scoring, ranking, classification, and recommendation systems that power our deal discovery engine. You will work on models and pipelines that evaluate products using signals such as price history, coupon mechanics, review trustworthiness, product usefulness, merchant quality, category fit, and user behavior. This is a hands-on role for someone who can move between machine learning, backend logic, data pipelines, LLM integration, experimentation, and product-focused AI.

Responsibilities

• Design and improve LiveWirePicks' AI deal scoring system, including product quality, discount quality, review trust, coupon complexity, and usefulness signals.
• Build ML/AI models and rules-based intelligence to detect fake discounts, inflated list prices, low-quality products, suspicious reviews, and stale deals.
• Develop recommendation and ranking logic for lanes such as AI Picks, Amazon Finds, Stock-Up Deals, Event Deals, and category-specific deal feeds.
• Work with LLMs to generate plain-English explanations such as Why it stands out, What to watch, and Why now.
• Create pipelines for product ingestion, enrichment, scoring, re-scoring, and freshness checks.
• Help define experimentation frameworks to compare deal scoring versions and improve user engagement.
• Collaborate with product, design, and business stakeholders to make AI outputs understandable and trustworthy to everyday shoppers.
• Support future personalization features such as user-specific deal recommendations, preference learning, and behavioral signal analysis.

Required Qualifications

• 5-6+ years of experience in AI, ML, data science, or applied machine learning engineering.
• Strong experience with Python and modern ML/data tooling.
• Experience building ranking, scoring, recommendation, classification, or fraud/spam detection systems.
• Practical experience with LLMs, embeddings, prompt engineering, or AI-assisted content generation.
• Strong understanding of data pipelines, APIs, databases, and backend integration.
• Ability to balance statistical modeling with practical business rules.
• Comfort working in a startup environment where speed, iteration, and product sense matter.

Nice to Have

• Experience with e-commerce, affiliate marketing, deal platforms, price intelligence, product search, or marketplace data.
• Experience with vector databases, semantic search, recommendation engines, or user personalization.
• Familiarity with Amazon product data, product feeds, review analysis, or pricing/coupon behavior.
• Experience with Supabase, Vercel, serverless architectures, or modern full-stack workflows.

Role Overview

The Partner Engagement Manager will own the relationship-building side of LiveWirePicks. This includes identifying potential partners, applying to affiliate programs, managing merchant relationships, negotiating opportunities, tracking partner performance, and helping shape how LiveWirePicks grows as a trusted deals platform. This is a great role for someone who enjoys business development, affiliate marketing, partner success, and startup growth.

Responsibilities

• Identify and pursue affiliate partnerships with retailers, brands, marketplaces, and affiliate networks.
• Manage relationships with affiliate platforms such as Impact, CJ, Rakuten, ShareASale, Amazon Associates, and other relevant networks.
• Help improve approval rates for affiliate applications by refining positioning, traffic story, brand presentation, and compliance materials.
• Build and maintain a partner pipeline with status, contacts, requirements, commission terms, and next steps.
• Coordinate with product/content teams to ensure partner offers are displayed clearly, accurately, and compliantly.
• Develop partner engagement playbooks, email templates, pitch materials, and outreach sequences.
• Explore sponsorships, featured merchant opportunities, newsletter partnerships, influencer partnerships, and content collaborations.
• Monitor partner performance, conversion trends, commission potential, and merchant quality.
• Help define policies around sponsored deals, affiliate disclosure, merchant trust, and user-first presentation.
• Represent LiveWirePicks professionally in partner discussions.

Required Qualifications

• 4+ years of experience in partner management, affiliate marketing, business development, account management, partnerships, or growth.
• Strong written and verbal communication skills.
• Experience working with merchants, affiliate networks, agencies, or digital commerce partners.
• Ability to build trust and manage relationships over time.
• Comfort working with spreadsheets, CRM-style trackers, partner dashboards, and performance metrics.
• Strong business judgment and ability to balance revenue goals with user trust.

Nice to Have

• Experience with deal sites, coupon sites, cashback platforms, affiliate publishers, e-commerce, or retail media.
• Familiarity with Amazon Associates, Impact.com, CJ, Rakuten, ShareASale, Partnerize, or similar platforms.
• Experience creating partner pitch materials or affiliate program applications.
• Understanding of FTC disclosure expectations and affiliate compliance basics.
• Experience working with startup teams or early-stage growth initiatives.

Role Overview

As a Site Moderator and UX Tester, you will help review the LiveWirePicks experience from a real user's perspective. You may test deal pages, homepage sections, filters, mobile navigation, category pages, voting features, expired-deal flows, Amazon Finds, AI Picks, and community feedback tools. You do not need to be technical. We are looking for people who can notice what feels confusing, broken, misleading, hard to use, or visually off.

Responsibilities

• Test LiveWirePicks pages on desktop and mobile.
• Review deal cards for clarity, layout, merchant names, AI score visibility, hotness indicators, buttons, and deal explanations.
• Flag expired, confusing, duplicate, suspicious, or low-quality deals.
• Provide feedback on homepage sections, category pages, filters, navigation, and search experience.
• Test user flows such as clicking a deal, reporting an expired deal, browsing Amazon Finds, and reading AI explanations.
• Share short written feedback with screenshots when useful.
• Help identify bugs, broken links, awkward wording, mobile layout issues, and trust concerns.
• Participate in occasional feedback surveys or usability review sessions.

Required Qualifications

• Interest in online shopping, deals, product discovery, or consumer websites.
• Ability to give clear and honest feedback.
• Comfort using websites on phone and/or desktop.
• Attention to detail.
• Respectful communication and willingness to help improve an early-stage product.

Nice to Have

• Experience with UX testing, QA testing, product reviews, deal hunting, affiliate sites, Reddit communities, or online shopping groups.
• Comfort recording short screen walkthroughs or annotated screenshots.
• Interest in becoming a future paid moderator, contributor, or community reviewer.
• Familiarity with Amazon, deal forums, shopping apps, coupon tools, or product review communities.