Pre-screened and vetted.
Intern Data Analyst specializing in business intelligence and financial analytics
“Analytics candidate with hands-on experience in both fraud and churn use cases, including SQL-based preparation of 6.5M transaction records and reproducible Python modeling workflows. Stands out for combining technical rigor in data quality, feature engineering, and imbalance handling with strong stakeholder alignment, metric definition, and dashboard adoption.”
Mid-level Business Analyst specializing in healthcare and data analytics
“Analytics candidate with hands-on experience at BCBS building HIPAA-compliant SQL/Snowflake/Tableau pipelines across fragmented legacy healthcare systems. Stands out for turning a 5-day claims reporting process into a near real-time 10-minute dashboard and for pairing strong data engineering discipline with reproducible Python-based churn modeling that drove measurable retention outcomes.”
Junior Full-Stack Engineer specializing in lab software and internal tools
“Built Laborate.app, a full-stack lab notebook and inventory product for scientists, largely solo using Next.js App Router, TypeScript, Postgres, Prisma, and AWS S3. Stands out for combining product ownership with practical concerns like encrypted data storage, autosave reliability, caching, tenant isolation, and scalability planning.”
Entry-level sales engineer specializing in HVAC services and technical business development
“HVAC services sales professional with hands-on outbound prospecting experience, including cold calling and in-person client meetings. Stands out for rebuilding trust in a school district where the company had a poor reputation and ultimately winning a three-school HVAC service deal through persistence and tailored solution selling.”
Senior Ad Operations leader specializing in CTV and programmatic advertising
“Paid media and ad operations specialist with deep CTV/OTT experience at FuboTV, where they owned strategy-to-execution workflows across direct and programmatic business and helped scale revenue from $5.3M to $19.5M while maintaining strong retention and low error rates. Stands out for building custom dashboards, pacing tools, and inventory/pricing models that informed C-suite decisions and helped grow major advertiser relationships like Procter & Gamble from $600K to $5M.”
Senior IT Project Manager specializing in Agile delivery and migration programs
“Project manager with 16+ years of experience leading enterprise implementations across software, e-commerce, and financial services environments. Stands out for coordinating complex multi-country launches involving legal, creative, development, QA, and executive stakeholders, while also bringing regulated-environment experience through FINRA compliance and administration system modernization.”
Senior Project Manager and Business Analyst specializing in Oracle enterprise systems
“Senior business analyst/project manager with broad enterprise implementation experience across multiple business functions and platforms, including ERP, custom web apps, AI chatbot deployment, and ITSM asset migration. Stands out for owning projects end-to-end, using iterative requirements workshops and visual process mapping, and finding practical configuration workarounds when out-of-the-box systems fall short.”
Director-level Product Leader specializing in FinTech, SaaS, and digital growth
“Senior product leader with experience across Times Internet, Mudah.my, Wells Fargo, and delivery/logistics products, spanning SaaS, marketplace, fintech, and AI-enabled platforms. Stands out for building products end-to-end with strong commercial outcomes, including a multi-channel engagement platform that became a new SaaS revenue stream and AI features that improved marketplace liquidity while keeping humans in control.”
Intern Business Enablement & Strategy Analyst specializing in process improvement and product operations
“Sourcing/procurement professional with end-to-end ownership of vendor selection, negotiation, and delivery for AI-enabled workflow automation products. Uses structured scorecards, SLA/KPI-driven supplier management, and dual-sourcing strategies to reduce risk—delivering measurable outcomes like 18% cost savings, OTD improvement from 82% to 96%, and 25% rework reduction while navigating data quality drift and trade/duty exposure.”
Intern-level Software Engineer specializing in AI/ML and time-series forecasting for finance
“Built a production AI-driven QA automation platform using a multi-agent architecture (MCPs + LangGraph) to run parallel website tests across multiple device environments via automated image building and containerization. Currently collaborating with restaurant operators and managers to deliver an agentic restaurant analytics system, emphasizing deep domain discovery with non-technical stakeholders.”
Senior Full-Stack Engineer specializing in AI/LLM and cloud-native SaaS
“Software engineer with strong end-to-end ownership across frontend, backend, data, and infrastructure, including real-time systems (Kafka/Postgres) and observability (Datadog). Built and productionized an AI-native RAG support assistant (OpenAI embeddings + Pinecone) with prompt/guardrail design, achieving 48% agent adoption and 30% faster responses. Experienced in legacy modernization and reliability work using feature flags, event/transaction replay, and rapid embedded delivery.”
Junior AI & ML Engineer specializing in agentic systems and full-stack AI products
“Won a machine learning contest and was placed onto a Kaiser data science team, where they built ML models for hospital bottleneck prediction and resource allocation. They later built and deployed a full-stack LLM-based “data analyst agent” (with custom orchestration plus LangChain/OpenAI Agents experience) that generates analysis code, answers questions, and produces dashboards from uploaded datasets, emphasizing rigorous evaluation sets, robustness, and healthcare security/compliance integration.”
Mid-level Machine Learning Engineer specializing in LLMs and RAG for finance and healthcare
“ML Engineer with recent Goldman Sachs experience building and deploying a production RAG/LLM assistant for summarization, drafting, and internal knowledge retrieval across financial, risk, and compliance documents. Designed for heavy regulatory constraints and scaled to 10,000+ concurrent users using Kubernetes-based orchestration, dynamic LLM routing, and rigorous testing (adversarial prompts, A/B tests, load simulations) with privacy controls like differential privacy.”
Director-level Talent Acquisition leader specializing in pathway programs and high-volume hiring
“Talent Acquisition/Recruiting Operations leader with experience across aviation, technology, corporate/finance, and education. Led a 12-person TA org and drove major operational transformations, including a Southwest Airlines pilot pipeline program cutting time-to-cockpit from ~10 years to ~4 and forecasting 400–600 pilots annually at peak. Recently served as primary TA stakeholder for an iCIMS-to-ADP RM ATS migration, simplifying workflows and reducing recruiter administrative work by ~70%.”
Senior Controls & Localization Engineer specializing in autonomy, sensor fusion, and MPC
“Robotics software engineer focused on state estimation and localization reliability, with deep hands-on EKF tuning/validation using DGPS ground truth and integrity-risk-based uncertainty calibration. Built middleware-agnostic interfaces with ROS wrappers to enable repeatable ROS bag playback testing, and implemented CI at Caterpillar to automatically build the localization stack and run unit tests plus bag-based regressions before merge.”
Senior Digital Marketing Specialist specializing in performance marketing, SEO/SEM, and paid media
“Performance marketer focused on full-funnel paid media systems across Meta, Google (Search + Performance Max), and TikTok, with experience scaling spend into the ~$80K–$120K/month range while maintaining strong ROAS. Emphasizes rigorous creative testing (6–10 launches/week with 72–96 hour decision windows), GA4 validation, and controlled budget scaling; cites a turnaround case improving CTR 30%, reducing Meta CPA 27%, and lifting blended ROAS to ~3.1x in ~3 weeks.”
Intern Operations & Business Analytics professional specializing in supply chain performance
“Operations/project management intern with hands-on procurement and supply chain analytics experience: owned end-to-end sourcing and vendor negotiations for a 20,000 sq ft luxury estate and helped recover a project that was 2 months behind schedule. At DHL Supply Chain (Campbell’s account), built Power BI dashboards from WMS (Blue Yonder) data and used time studies to uncover a six-figure labor cost issue, influencing multi-stakeholder operational changes.”
Intern-level Sales and Outreach Professional specializing in sustainability and client engagement
“Sales/business development candidate with hands-on outbound experience across donor/partner and community stakeholder outreach, including multi-channel campaigns (email, word-of-mouth, door-to-door) managed through Salesforce. Applied data-driven targeting (NY census) to focus outreach on high-poverty areas and has experience operating in an early-stage/ambiguous environment at NBC during the Paris Olympics, using proactive coordination and meetings to create structure.”
Senior Business Analytics Consultant specializing in BI, data engineering, and predictive analytics
“Healthcare analytics candidate with hands-on experience turning messy claims, enrollment, and reference data into trusted SQL reporting layers and reproducible Python workflows. They emphasize metric standardization, stakeholder alignment, and operational impact, including ~40% reduction in manual reporting effort and improved forecasting/resource prioritization through high-risk patient segmentation.”
Mid-level Business Analyst specializing in healthcare and retail analytics
“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”
Senior Media Performance Manager specializing in programmatic advertising
“Performance marketer with 10 years of experience managing large US media budgets for global brands including Ford, Toyota, Nestle, Daimler, and Mondelez. Brings strong programmatic and measurement expertise across DV360, The Trade Desk, StackAdapt, Yahoo DSP, Google Ads, Innovid, IAS, and CM360, with hands-on examples of improving e-commerce sales and restoring lost attribution through pixel diagnostics.”
Director-level software engineering leader specializing in AI platforms
“Hands-on engineering leader who has scaled teams quickly (hired 20 engineers in 4 months) and led major architecture shifts including monolith-to-microservices and serverless, async AI-driven medical data ingestion/search. Also drove a versioned-inventory redesign with auditability and rollback that reduced operational errors by 22%, and demonstrates strong incident response with clear stakeholder communication.”
Executive AI product leader specializing in enterprise SaaS and supply chain platforms
“Product leader working at the intersection of AI, data governance, and industrial/energy operations. They have led a major finance-platform rewire for solar and wind asset forecasting at NextEra and previously built an AI-assisted field service app for fire alarm technicians across four business units, showing unusual depth in both enterprise data architecture and safety-critical mobile workflows.”
Junior Data & AI professional specializing in analytics, ML, and LLM systems
“Full-stack product builder with strong GTM and applied AI experience, including end-to-end ownership of a production lead intelligence platform that combined React/TypeScript, Python services, external data enrichment, and LLM orchestration. Notably reduced SDR research time from 15-20 minutes to under 2 minutes per account and also drove an 8% revenue increase at Finding Pi by building a customer segmentation framework from analysis of 45k+ users.”