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Robert Rajkumar

Business Intelligence Specialist
Worked for Cognizant, IMS Health, and VISEO.
Robert Rajkumar has over ten years of Salesforce techno-functional, business analysis and consulting, operations, and project program management and PMO experience. He is a certified project manager (PMP®), scrum master (PSM®), Salesforce certified with several years of regional and global IT applications implementations with HC and budget management responsibilities. His experience includes project deliveries and solutions for commercial go-to-market business transformation (CRM-B2B/B2C/ETMS/CLM/eDetailing), marketing automation, lead generation, web/digital strategy for healthcare, pharma/life science, private banking, and fintech social payments and financial services domain.

Samuel Wong

Business Intelligence Specialist

Chua Wei Siang

Business Intelligence Specialist

Richard Tan

Business Intelligence Specialist
Worked with PayPal, Vrbo, Citibank, VISA, McDonald’s & IKEA.
Richard Tan is an experienced digital marketer with over 14 years of industry knowledge, specializing in performance marketing and marketing technology, using results and a data-driven approach to drive insights and business objectives. With expertise spanning ad operations, media strategy, data management, content, and inbound lead generation alongside paid media, he is well equipped to drive business growth and fuel revenue and acquisition objectives. Richard has worked with brands such as PayPal, Vrbo, Citibank, VISA, McDonald’s, and IKEA.

Alan Chia

Business Intelligence Specialist
Former platform specialist for FUJIFILM.
Alan Chia is a seasoned marketing professional with experience in marketing technology and adept at leading and driving B2B marketing campaigns. With over 10 years of working experience in marketing roles, he has worked with Fortune 500 organizations. His expertise lies in marketing automation and platforms, having worked as a platform specialist for companies like Fuji Xerox Singapore. Alan is highly skilled with marketing automation platforms like Pardot, Eloqua, Marketo, Hubspot, and Sitecore.
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Frequently asked questions

Most teams see matched candidates within 48 hours. Our pre-vetted network means we are not starting from scratch when you reach out. If we do not have the right person available, we will tell you upfront rather than scramble.
Practitioners vet practitioners. Your growth marketer candidate gets interviewed by someone who has run growth at similar companies, not a recruiter checking keywords. We combine technical assessments, portfolio reviews, and cultural fit screening before anyone reaches your inbox.
Contract talent works on defined projects with clear deliverables. Embedded talent integrates into your team for ongoing work, attending standups and using your tools. Both can transition to full-time if the fit is right. We help you choose based on scope, timeline, and budget.
If it is not working in the first few weeks, we will find you a replacement at no additional cost. We are not in the business of defending bad matches. Most clients never need this because we invest heavily in fit upfront.
We offer flexible engagement models: hourly for short-term projects, monthly retainers for ongoing work, or placement fees for full-time hires. No hidden fees, no long-term contracts unless you want them. Your account manager will walk through options on your discovery call.
Yes. Someone who thrived at Google with dedicated QA, DevOps, and product managers may flounder when they have to wear all three hats. We look for people who have operated at your stage, pace, and level of ambiguity.
Yes, and not just the flashy demo-building part. Our Agent Operations practice includes people who have run AI agents in production and dealt with the messy reality of keeping them reliable, cost-effective, and safe.
Most marketplaces optimize for volume. They send you 10 candidates hoping one sticks. We optimize for fit. We would rather say “we do not have the right person” than waste your time. Our 95% satisfaction rate comes from being selective, not fast.