Pre-screened and vetted.
Principal Talent Acquisition Leader specializing in technical and GTM hiring for SaaS and AI
“Recruiting leader managing teams of up to 26 who stays hands-on with high-impact executive searches; recently led and closed a VP of Revenue search in 60 days to unblock revenue growth. Partners closely with HRBPs and executive stakeholders (including CFO) on workforce planning, attrition reduction, and compensation/leveling decisions, and has rebuilt recruiting processes with structured, metrics-driven adoption.”
Senior HR Manager specializing in global HR operations and talent management
“HR/People leader with experience driving enterprise change and operational improvements, including a regional-to-global org restructure across the U.S. and Canada and major benefits/HRIS transitions. Strong blend of systems thinking and people analytics (dashboards, engagement/turnover diagnostics) plus hands-on leadership coaching and high-stakes employee relations investigations in partnership with Legal and executive leadership.”
Senior Enterprise Account Executive specializing in SaaS and HR tech
“Enterprise retail seller focused on quantified, finance-grade ROI storytelling and pilot-to-expansion motions. Has closed and expanded major logos including Kroger (flagship pilot leading to $200K MRR upsell) and Procter & Gamble (expanded from $20K to $250K MRR), and exceeded a $540K MRR quota two years running (106% in 2024; 116% in 2025) with additional $100K+ MRR wins like Target and First Student.”
Mid-level Software QA Tester specializing in manual, automation, API, and database testing
“Console game QA tester with ~2 years of experience testing PS4 and Nintendo Switch titles across genres (RPG, shmup, action platformer). Focuses on identifying functional/UI/UX issues and triaging high-risk crash and game-breaking bugs; prefers structured team environments and a 9-to-5 schedule.”
Mid-level Data Analyst/Data Engineer specializing in BI, ETL pipelines, and cloud analytics
“Data engineer focused on marketing/web analytics and external API pipelines, handling ~10M records/week. Built Azure-based ingestion and PySpark transformations with rigorous data quality checks, then served curated datasets into Synapse/Redshift for Power BI. Also designed an Airflow-orchestrated crypto REST API pipeline with monitoring, retries/exponential backoff, schema-change detection, and backfill-friendly reprocessing.”
“Analytics professional with Northern Trust experience focused on investment portfolio reconciliation and reporting. They combine SQL, Python, and Power BI to clean and validate high-volume financial data, automate manual processes, and align operations and accounting teams on shared metrics—driving roughly 20% improvement in reconciliation accuracy.”
Mid-level Data Analyst specializing in BI, analytics, and healthcare data
“Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.”
Senior IT Business Systems Analyst specializing in UAT, project delivery, and regulated platforms
“Worked on a P&C insurance integration project at Accenture, using SQL to unify policy, billing, and claims data from APIs and ETL pipelines into clean reporting tables. Demonstrated hands-on experience with data quality validation, window-function-based transformations, and query performance tuning, helping business teams get a single reliable view for faster claims processing and management reporting.”
Senior Analytics and Business Intelligence professional specializing in e-commerce and digital analytics
“Analytics professional with hands-on experience unifying marketing-platform data through Fivetran and Snowflake, building reporting views, and catching source-to-report issues like timezone-driven spend discrepancies. They also owned subscription LTV/cohort analysis and engagement tracking initiatives, partnering with e-commerce, product, and senior leadership to turn behavioral and demographic data into dashboards, lead-qualification metrics, and lifecycle marketing insights.”
Mid-level Data Analyst specializing in financial risk and data automation
“Analytics professional from Capital One with strong experience automating risk, reconciliation, and regulatory reporting workflows in financial services. They combine deep SQL/Python pipeline skills with stakeholder-facing dashboard and KPI design, delivering measurable impact like 30% performance gains, sub-24-hour anomaly detection, and 100% data integrity for regulatory filings.”
Junior software developer specializing in data analytics and machine learning
“Entry-level software engineer who independently built an AI-powered feedback aggregation and analytics dashboard end-to-end using Cloudflare Workers, D1, and React. Stands out for combining serverless backend design, LLM-based categorization, and thoughtful UI/UX polish, with a practical approach to production debugging and data reliability.”
Mid-level Business Analyst specializing in supply chain and logistics
“Analytics professional with hands-on experience in supply chain and logistics transformation, including enterprise data preparation in SQL, Python automation, and Power BI reporting. They highlight ownership of end-to-end digitization work at Blue Dart, where they defined operational metrics, aligned cross-functional stakeholders, and delivered measurable gains in transparency, reporting efficiency, and implementation quality.”
Mid-level Finance Analyst specializing in product, analytics, and technology strategy
“Startup-oriented business development candidate who built outreach and pipeline processes from scratch for early-stage companies including a law firm and consulting-related work. Stands out for highly persistent, research-driven prospecting across social, email, phone, and even in-person outreach, including winning a hotel client after failed remote attempts by showing up with a tailored strategy.”
Mid-level Business Systems Analyst specializing in healthcare and transportation analytics
“Analytics candidate with strong finance/operations reporting experience, focused on billing, margin, and revenue leakage use cases. They have built SQL and Python workflows that turned messy shipment, invoice, PO, and ERP data into trusted reporting layers, replacing manual Excel processes and driving adoption through transparent reconciliation and stakeholder collaboration.”
Senior Project Manager specializing in enterprise technology implementations
“Project/program leader focused on large-scale enterprise technology rollouts in highly distributed restaurant environments, including POS, infrastructure hardware, mobile, and SaaS platforms across thousands of locations. Stands out for managing multiple concurrent implementations end to end while coordinating complex cross-functional teams, vendors, governance, and executive stakeholders.”
Entry-level product and project management candidate specializing in operations and user insights
“Early-career candidate with a blend of product research and project coordination experience from a BeReal Product Innovation Externship and Aspire Skill Development internship. They bring strong analytical and organizational skills, including user interviews, competitive benchmarking, prototyping, and stakeholder tracking, with a demonstrated contribution to reducing missed deadlines by 20%.”
Mid-level Software Engineer specializing in backend web applications and APIs
“Backend-leaning full-stack engineer who has shipped both a SaaS analytics/A-B testing platform and an AI-driven fraud monitoring product in production. Stands out for combining React/TypeScript frontend work with Python/Java backend systems, event-driven architecture, and practical LLM integration grounded by validation and human analyst feedback, with measurable impact on engagement, performance, fraud accuracy, and false positives.”
Mid-level finance and strategy analyst specializing in valuation and performance analytics
“Co-founder of ATW Labs who built a consulting and analytics pipeline from scratch, selling into middle-market companies and converting outreach into repeat client engagements. Brings a blend of founder empathy, executive-facing business development, and early conviction around practical generative AI use cases, with experience translating ambiguous client needs into high-ROI recommendations.”
Senior business strategist specializing in finance, growth, and hospitality
“Senior Business Strategist (Robotproof) who effectively operated in a Chief-of-Staff-like capacity for both internal executives and Samsung’s President/CMO/Head of Strategy, running multi-workstream initiatives across strategy, marketing, and VR product/engineering. Built KPI/OKR dashboards and executive briefing rhythms to accelerate decisions and delivered an 8% sales lift via a targeted regional strategy pilot that included localized assets, an incentivized sales program, and a bespoke VR training tool.”
Director-level Talent Acquisition & People Operations leader in Financial Services and Consulting
“Recruiting leader with 4 years managing a 25-person recruiting team and deep experience in C-suite executive search. Built a full recruiting lifecycle process from the ground up in their current role, scaling to ~60 candidate interviews per week and implementing Salesforce-based pipeline tracking. Regularly partners with HRBPs and works directly with CEO/COO on retention, budgeting, and hiring/firing decisions.”
Junior Data Scientist/Data Engineer specializing in ML pipelines and analytics
“Machine Learning Intern at Docsumo who delivered a customer-facing fraud-detection solution end-to-end: rebuilt the pipeline, deployed a Random Forest model, and shipped a Python/Flask microservice on AWS SageMaker. Drove measurable production impact (precision +30%, processing time cut in half, manual review -60%, customer satisfaction +15%) and demonstrated strong customer integration and live-incident response skills.”
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and NLP
“AI/ML engineer with forensic analytics and healthcare claims experience (Optum), building production LLM/RAG systems to surface context-driven fraud patterns from unstructured claim notes and explain risk to investigators. Strong in large-scale retrieval performance tuning, legacy API integration with reliability patterns (SQS, circuit breakers), and MLOps orchestration on Airflow/Kubernetes with rigorous testing, monitoring, and stakeholder-friendly interpretability.”
Mid-Level Game Designer specializing in live ops and content design
“Game/content designer with experience at EA and on a mobile title (Ultimate Fishing), owning PvP mode UX/gameplay improvements and building UE5 Blueprint systems (state machine + modular weapon/ability architecture) to support multi-developer teams. Also designed College Football 2025/2026 challenge content grounded in real football culture and research, improved broken data-driven toolsets via spreadsheet formula work, and partnered with economy to rebalance rewards by rapidly shipping additional challenges.”
Mid-level Data Engineer specializing in cloud ETL/ELT and lakehouse architecture
“Data engineer focused on sales/marketing analytics pipelines, owning ingestion from CRMs/ad platforms through warehouse serving and dashboards at ~hundreds of thousands of records/day. Built reliability-focused systems including dbt/SQL/Python data quality gates with alerting, a resilient web-scraping pipeline (retries/backoff, anti-bot tactics, schema-change detection, backfills), and a versioned internal REST API with caching and strong developer usability.”