Modash

Backend Engineer

• Build and evolve systems collecting and maintaining 400M+ creator profiles across Instagram, TikTok, and YouTube
• Keep billions of data points fresh for search, analytics, APIs, and customer-facing products
• Design resilient services handling third-party API instability, rate limits, provider outages, platform changes, and partial failures
• Improve collection coverage and freshness while controlling request, proxy, storage, and compute costs
• Own the full production lifecycle from problem definition and architecture through coding, review, release, monitoring, and iteration
• Build monitoring, observability, and operational safeguards to detect gaps and regressions
• Collaborate with Data Search, Data Insights, product teams, and company leadership
• Participate in system design, indexing dependency work, request-routing reviews, and data-quality improvements

Senior Backend Engineer, Data Core

Data Engineer

• Improve creator discovery across 400M+ profiles and billions of media files through retrieval, filtering, ranking, relevance, speed, and product decisions
• Build systems that generate and use embeddings from images, video, text, and audio at massive scale
• Evaluate models and technologies while balancing cost, latency, and quality
• Move promising search approaches from experiments into reliable production systems
• Shape problems, gather requirements, design architecture, write code, release features, measure outcomes, and iterate
• Inspect retrieval and ranking stages to identify and fix relevance issues
• Build and test multimodal embedding pipelines
• Collaborate with Data Insights on datapoint definitions, coverage, and data-quality requirements
• Test reranking models against real customer queries and assess relevance, latency, and inference cost
• Review production metrics, investigate regressions, and determine whether fixes belong in models, data, query logic, or product
• Collaborate with Data Core, Data Insights, product teams, customers, and company leadership
• Participate in intro, coding, system design, team, and CEO culture/alignment interviews

Senior Software Engineer – Data Search

Sales

• Take full ownership of running Modash’s North America Account Executive team, currently six people and growing
• Conduct weekly 1:1s and create individual growth plans
• Review deals and call recordings and provide direct, specific feedback
• Track representative attainment and intervene when performance falls behind
• Run performance improvement plans when needed
• Run pipeline reviews and enforce CRM hygiene, sales process, and methodology
• Report weekly/monthly on attainment, risks, and required changes
• Help representatives unblock key opportunities, join deal reviews, and approve non-standard pricing or quotes
• Escalate compensation, tooling, enablement, and resource issues
• Support hiring through sourcing, interviewing, and assessing candidates
• Collaborate with AE Onboarding & Enablement, Sales Ops, marketing, and customer success leads
• Use HubSpot, Avoma, Notion, Slack, Calendly, and custom quoting/reporting tools

Sales Manager

Customer Support

• Provide customer support through Intercom chat and email, with occasional live or asynchronous video
• Advise customers on influencer marketing workflows and best practices
• Guide customers through Modash features with clear, step-by-step instructions
• Troubleshoot product issues by reproducing problems, asking follow-up questions, and guiding customers to solutions
• Escalate bugs and issues with clear steps, examples, links, and impact
• Update the Help Center and internal documentation
• Contribute to customer communications during incidents
• Identify patterns and share customer feedback to improve the product
• Maintain fast first-response times, typically under two hours
• Keep internal notes and handoffs clear
• Continuously improve Help Center content based on customer tickets

Senior Backend Engineer, Data Core

Senior Software Engineer – Data Search

Sales Manager

Customer Support Specialist