Perform

Ecommerce

• Own end-to-end Headless CMS stack (Sanity/Next.js): design schemas, ship features, and deploy confidently
• Design the full content schema in Sanity.io from the ground up
• Build custom Sanity Studio configurations and input components
• Write clean content migrations
• Develop the Next.js frontend consuming Sanity's GROQ API
• Implement performance budgets and Core Web Vitals targets
• Own the deployment pipeline on Vercel
• Connect the CMS to third-party booking, scheduling, and payment platforms
• Build error handling, retry logic, and observability

Full Stack Developer – Headless CMS, Sanity.IO, Node.JS, Shopify Plus

Sales Development Rep

• Proactively identify and target potential clients through outbound prospecting (cold calls, emails, LinkedIn outreach, etc.) to generate new business opportunities in the nearshore staff augmentation space.
• Qualify inbound leads and nurture them through the early stages of the sales funnel.
• Collaborate closely with Account Executives to develop and execute targeted outreach strategies.
• Leverage your knowledge of nearshore staff augmentation to articulate Perform’s value proposition to decision-makers (e.g., IT managers, HR leaders, and C-suite executives).
• Maintain accurate and up-to-date records of all activities and prospect interactions in our CRM system.
• Conduct market research to identify trends, competitors, and new opportunities within the nearshore staffing industry.
• Meet or exceed monthly and quarterly quotas for qualified leads and meetings booked.
• Represent Perform professionally in all client-facing interactions, building trust and credibility.

Sales Development Representative – SDR

Machine Learning Engineer

• Lead the design and development of machine learning systems and LLM-based applications
• Fine-tune and adapt large language models for domain-specific use cases
• Build NLP pipelines to extract structured data from complex, unstructured documents
• Translate ambiguous product goals into clear technical and ML execution plans
• Work directly with product signals, user feedback, and backlog input to prioritize development work
• Build evaluation systems to measure model performance and detect regressions
• Design automated benchmarking pipelines for continuous model testing
• Define meaningful performance metrics tied to real-world outcomes
• Build feedback loops that use user corrections to continuously improve model performance
• Apply computer vision techniques to extract data from PDFs and scanned documents
• Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium
• Work across system design, infrastructure, training, and inference pipelines
• Build scalable ML systems and supporting infrastructure from the ground up

Senior AI/ML Engineer

Data Engineer

• Own the Data Platform
• Design, build, and operate MDVIP’s data platform on Azure Databricks—ingestion, transformation, storage, and serving layers that power analytics, AI models, and operational reporting.
• Build and maintain data pipelines across MDVIP’s ecosystem: Salesforce, SQL Server, Snowflake, third-party sources, and the new cloud-native payments platform.
• Engineer for quality and trust—validation checks, anomaly detection, lineage tracking, and documentation that ensure every downstream consumer can rely on the data.
• Write clean, version-controlled, production-grade code.
• Think like a software engineer building a product, not a script runner maintaining jobs.
• Go Deep Into the Business Domain
• Partner directly with business stakeholders across physician growth, member services, finance, and operations to understand how data drives decisions—then build for those decisions, not for abstract requirements.
• Act as a technical product owner for your domain areas: own the backlog, prioritize based on business impact, and ship iteratively without waiting for a PM to sequence your work.
• Translate ambiguous business questions into data models, feature tables, and curated datasets that analysts and data scientists can build on immediately.
• Close the loop—follow your data through to the dashboard, the model, or the operational workflow and validate that it’s actually driving the outcome.
• Drive AI-First Engineering Practices
• Use Claude Code and agentic development as your primary workflow—AI-driven pipeline generation, automated testing, rapid prototyping—to ship at a pace that would be impossible with traditional approaches.
• Build data infrastructure that is AI-ready: well-documented, semantically clear, and structured so that AI tools and agents can reason over it effectively.
• Scout, evaluate, and adopt emerging AI tools and platforms that make the data team faster—separating real value from hype with hands-on testing. Share what you learn. Document patterns, run demos, and help the broader team adopt AI-first workflows with confidence.

Senior Data Engineer

Full-stack Engineer

• Own the content architecture
• Design the full content schema in Sanity.io from the ground up — services, treatments, providers, booking flows, blog, FAQs — with clean document types, structured portable text, and a model that non-technical editors can actually use.
• Build the frontend
• Develop the Next.js frontend consuming Sanity’s GROQ API — with a deliberate ISR/SSR strategy, image optimization, and SEO fundamentals built in from the start, not bolted on later.
• Own the deployment pipeline on Vercel — preview environments, CI checks, and rollback capability.
• Build and maintain integrations
• Connect the CMS to third-party booking and scheduling platforms — API-first, cleanly abstracted, and resilient to the inevitable upstream changes.
• Work independently and communicate clearly
• Manage your own delivery — you’ll have context, goals, and access to stakeholders, not a Jira board of pre-scoped tickets.