Amresh Kumar

The strongest Oracle Cloud, PeopleSoft, SAP and Workday professionals they have worked with over roughly 20 years came through long-term relationships, repeat project engagements, referrals and staying in contact—not job-board applications. Their practical conclusion: ERP transformation hiring needs a relationship-driven pipeline and a recruiter who understands delivery realities, stakeholder management and business processes, not just keyword matching.

Kumar lists the specific areas covered by that network: Oracle Cloud PPM, Revenue Management Cloud, Subscription Management, Recruiting Cloud and Onboarding, SCM, EPM, OIC integrations, HCM payroll and time-and-labor; PeopleSoft FSCM and HCM; SAP S/4HANA finance and supply chain; and Workday HCM and payroll. The consultants’ sectors are just as concrete: public sector, federal, higher education, financial services, manufacturing, healthcare and CPG.

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They require someone who can work in a complex business environment: supporting post-go-live operations, collaborating closely with business users, managing stakeholders, working hybrid or on-site, and understanding processes well enough to keep operations stable.

• Resumes for these roles look nearly identical on paper, so the real differences emerge in deeper screening, operational discussions and reviews of actual project experience.
• They contrast this with traditional IT staffing and suggest a small initial engagement as a low-risk way to test fit.

Manufacturing and supply-chain organizations going through ERP change are becoming more selective, Kumar says, because business continuity and operational stability are at stake. They name Oracle Cloud, integrations, enterprise applications and modernization as areas where those demands bite hardest, and expect upcoming demand for Oracle OIC integrations, Oracle EBS and Fusion SCM, and techno-functional integration roles.

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Krostech's stated approach combines AI-driven sourcing tools that surface niche candidates other teams miss with human-led qualification and relationship-based recruiting. In their account, AI and automation drive upheaval in hiring and help specialist recruiters find people who are not looking for work.

Kumar built the Krostech model around an active ERP and IT talent database covering Oracle Cloud, PeopleSoft, SAP, cloud, data and engineering roles, with AI-driven sourcing layered on top to uncover niche candidates other teams miss.

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They ground the argument in personal chronology rather than data: they watched the Y2K preparation period in 2000 from a distance, at the end of high school, then entered the industry as the 2008 recession reshaped hiring, budgets and delivery models. They describe the current wave as categorically different from both.

Kumar expects demand to cluster around ERP upgrades, cloud initiatives, integrations, product development and large-scale delivery, with speed as important as specialization.

Kumar's earlier posts observe an industry-wide break; later posts make the operating claim that a maintained passive network, combined with AI sourcing, is the response.

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They keep ERP transformation and enterprise technology initiatives first in that list, presenting the wider functions as extensions of the specialism rather than a change of identity.

An earlier post from the same account is a plain contract advertisement for a 12-month SAP S/4HANA sourcing and procurement consultant in Boston, remote until the COVID-19 situation passed, closing with hashtags and no analysis. Later posts offer longer first-person market commentary and invite hiring managers to connect, showing how Kumar's public writing has changed.

The public writing moves from short contract postings to posts explaining broader market patterns. To assess the breadth claim, ask for hiring volumes, role examples and client detail; a single post does not provide them.

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It also names the skill areas and industries where they work.

Kumar says the strongest Oracle Cloud, PeopleSoft, SAP and Workday professionals they have worked with over about 20 years rarely came through job-board applications.

• They came through long-term relationships, repeat project engagements, referrals and sustained contact.
• Their network covers Oracle Cloud PPM, Revenue Management Cloud, Subscription Management, Recruiting Cloud and Onboarding, SCM, EPM, OIC integrations, HCM payroll and time-and-labor, PeopleSoft FSCM and HCM, SAP S/4HANA finance and supply chain, and Workday HCM and payroll.
• Those consultants have worked in public sector, federal, higher education, financial services, manufacturing, healthcare and CPG settings.
• Kumar says they pair AI sourcing with human-led qualification.
• The argument: ERP transformation depends on people who understand delivery realities and stakeholder management, not just technical modules.

For brands planning a campaign

A strong spine for a co-authored article: the mechanics of a passive ERP talent network, its named skill taxonomy and the sectors it covers. A staffing brand can supply market data, while Kumar brings practitioner detail on why referrals and repeat engagements outperform job boards for these roles.

Kumar compares three shifts they have lived through: Y2K preparation in 2000, which they watched from a distance at the end of high school; the 2008 recession, which they say reshaped IT hiring budgets and delivery models; and the current wave of agentic AI, automation and cloud adoption, which they call a full-scale shift rather than a slowdown.

• Kumar argues that traditional recruiting methods will not meet 2026 talent demand and describes the Krostech model: a deep passive consultant network, an active ERP and IT talent database covering Oracle Cloud, PeopleSoft, SAP, cloud, data and engineering roles, and AI-driven sourcing tools for niche candidates.
• The second half pitches to hiring teams planning ERP upgrades, cloud initiatives, integrations or large-scale delivery.

For brands planning a campaign

Use this as the framing piece for a 2026-focused article, and as a sample of how Kumar writes when selling their own firm rather than teaching. A co-authored piece would need editing to retain the practical detail and cut the sales close.

Kumar's answer focuses on operating inside complex organizations, not toolkits.

Kumar argues that the hardest enterprise-application roles are not those requiring the rarest technology, but those needing people who can operate in complex business environments, especially in Oracle Cloud, PeopleSoft, integrations, reporting and enterprise support.

• Resumes look nearly identical on paper; candidates separate during deeper screening, operational discussions and reviews of real project experience.
• Kumar contrasts this with traditional IT staffing and suggests a small initial engagement as a low-risk way for a hiring team to test fit before committing.

For brands planning a campaign

A concrete argument for an article: screen for delivery reality, not keyword matches. For a staffing brand, this supports a piece on interview and assessment design for ERP hires, with Kumar offering a practitioner's view of where paper matches break down.

Kumar says manufacturing and supply-chain organizations are becoming more selective during ERP transformations.

• Beyond technical capability, they weigh whether a consultant can support post-go-live environments, work closely with business users, adapt to hybrid or on-site collaboration, and keep pace in fast-moving operational settings.
• Kumar names Oracle Cloud, integrations, enterprise applications and modernization initiatives as areas where business continuity and operational stability are critical.
• They expect upcoming demand for Oracle OIC integrations, Oracle EBS and Fusion SCM, and techno-functional integration roles.

For brands planning a campaign

A sector-specific angle for manufacturing and supply-chain content, with forward-looking demand signals to anchor a piece on where ERP hiring budgets are moving next.

Kumar says ERP and enterprise-applications recruiting remains the foundation of their work.

• Growing client relationships have led them into hiring across wider technology and business functions—including manufacturing, industrial, technology and financial services—for roles such as infrastructure modernization, engineering leadership and business operations.
• The post is a relationship and network update rather than a teaching piece: Kumar thanks clients and contacts for referrals and introductions, and invites candidates and employers to connect.

For brands planning a campaign

Confirms Kumar can speak to hiring beyond ERP, but the post offers little teachable content. If a campaign needs practitioner depth in those wider areas, ask for work samples from that hiring before committing.

A plain job advertisement: a 12-month contract for an SAP S/4HANA sourcing and procurement functional consultant in Boston, remote until the COVID-19 situation passed, ending with three hashtags. It contains no analysis, but shows the operational contract recruiting Kumar's later posts describe at a higher level.

For brands planning a campaign

Useful mainly as background. The shift from short contract ads in 2020 to longer market-commentary posts tells the story of a recruiter building a voice, but this post is not co-authorship material on its own.

They arrive through long-term relationships, repeat project engagements, referrals and consistent contact over time.

• The posts back this up with unusually specific inventories: Oracle Cloud PPM, Revenue Management Cloud, Subscription Management, Recruiting Cloud and Onboarding, SCM and EPM; PeopleSoft FSCM and HCM; Oracle OIC integrations; Oracle Cloud HCM Payroll and OTL; SAP S/4HANA Finance and Supply Chain; and Workday HCM and Payroll.
• The client sectors named are equally concrete: public sector, federal, higher education, financial services, manufacturing, healthcare and CPG.

For brands planning a campaign

The passive-network argument is the strongest co-authored article hook here.

• A staffing brand can pair Kumar's relationship-pipeline claim with its own placement data to show when job-board sourcing fails on niche ERP skills and what a maintained consultant network changes.
• Use the named modules and sectors as the working example set rather than writing about "ERP talent" in general.

Examples: Source 1 · Source 2

They require people who can operate inside complex business environments: post-go-live support, close work with business users, hybrid or on-site collaboration, stakeholder management and business-process understanding.

• Resumes can look nearly identical on paper; the real differences surface in deeper screening and operational discussions.
• Manufacturing and supply-chain organizations undergoing ERP change are described as increasingly selective for exactly this reason: business continuity and operational stability are at stake.

Kumar presents the point as a pattern drawn from long practice, then narrows it to one industry. The structure is observation first, implication second, which works well for a client-education article.

For brands planning a campaign

A co-authored piece on screening criteria would have a clear practical spine: what a keyword match misses and what an operational interview reveals. A brand with post-go-live delivery experience can supply the second half of that argument with real examples of hires who succeeded or failed for context reasons rather than technical ones.

Examples: Source 1 · Source 2 · Source 3

Kumar positions AI as an addition to the relationship pipeline, not a replacement. In the same account, AI and automation are named among the forces driving the current hiring shift, alongside accelerated cloud adoption.

For brands planning a campaign

This is the most timely topic for a staffing brand targeting thought leadership because it takes a position rather than simply describing a trend: automation widens the candidate pool, but people decide who is actually qualified.

• The article should make the division of labour concrete by specifying which screening steps Kumar still runs manually and why.
• The brand's own recruiter workflow can serve as the comparison point.

Examples: Source 1 · Source 2

The framing leans on personal chronology: high school during the Y2K period in 2000, then entering the industry as the 2008 recession reshaped hiring, budgets and delivery models. Predicted demand clusters around ERP upgrades, cloud initiatives, integrations, product development and large-scale delivery, with speed emphasized as much as specialization.

First-person chronology as a credibility frame: an earlier technological shift, an earlier downturn and the present one as categorically different.

For brands planning a campaign

A forecast-themed co-authored article fits, but the dated 2026 claims are most likely to age. Anchor the piece to the structural argument that specialist demand outpaces traditional recruiting capacity, and let the brand supply current hiring benchmarks instead of repeating the forecast as fact.

Examples: Source 1

The post puts ERP transformation and enterprise technology initiatives first, with the broader functions as extensions.

The breadth claim rests on one post and gives no volume, role examples or client detail, so treat it as a stated direction rather than a documented track record.

For brands planning a campaign

This gives a brand room to widen the article's focus beyond ERP alone.

• It also sets the emphasis: ERP specialism is the differentiated claim, and broader hiring is the supporting one.
• Leading with general technology staffing would waste Kumar's clearest advantage.

Examples: Source 1

Contact details and the company name appear in the signature. An earlier example from the same account is much barer: a single contract-role solicitation for an SAP S/4HANA sourcing and procurement consultant on a twelve-month Boston engagement, remote until COVID-19, with hashtags and no analysis.

Pattern statement, short explanation, concrete list, contact invitation. The two-part example set shows the account moving from terse contract advertising toward longer client-education writing.

For brands planning a campaign

Kumar writes in a recognizable explain-then-invite shape, which suits a co-authored client-education article rather than a promotional post. Expect the collaboration to be argument- and observation-driven; the brand can supply case data and client examples that the pattern posts do not carry.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One post gives a contact address on the krostechsolutions.com domain. Ask for disclosure of any sponsorship, affiliate or investment terms.

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Jain’s post on recruiters chasing a mythical candidate makes the point with ObjectARX, Fortran and specific ERP implementations. Kumar makes it with Oracle Cloud, PeopleSoft, SAP and Workday consultants reached through repeat engagements and referrals.

Jain writes from inside an AI recruiting software company, framing the answer as a product that searches a candidate database, ranks matches and runs outreach.

• Kumar writes as a recruiting practitioner, focusing on maintained relationships, referrals and human-led qualification.
• Jain also follows the wider recruiting-tech funding story; Kumar sticks to the hiring problem itself.

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Both write to hiring managers and agency owners about how sourcing and outreach get done.

Herhold writes about recruiter mechanics and running the business: email subject lines that get replies, pipeline building, and the shift from running an agency to shipping a software product with activation metrics.

• Kumar writes about the candidate side of specialist ERP hiring, what distinguishes a good fit in a complex enterprise environment, and how AI sourcing fits into a relationship pipeline.
• Herhold is the operations-and-outbound voice; Kumar is the domain-expertise voice.

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Cooper’s pieces on CIO accountability for AI spend and cyber resilience cover the same transformation programmes Kumar recruits into, from the leadership side.

Cooper writes reported analysis for an enterprise technology readership, building pieces around executive interviews, industry research such as Gartner and ISG findings, and governance and risk questions. Kumar writes first-person recruiting commentary from placement experience, without research citations, and focuses on talent and fit rather than board-level accountability or security.

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Jain's two posts start from the same problem Amresh Kumar writes about — that the best people for niche roles are not applying — but develop it as a step-by-step sourcing argument: search your old candidate database again, look for adjacent experience rather than the exact keyword, map the small set of companies where the skill exists, then reach out directly by email, WhatsApp, phone and LinkedIn.

• Jain names ERP only as one example among hard-to-fill requirements, alongside ObjectARX and Fortran with HPC.
• Jain also covers market movement Kumar does not: the Metaview, Jack & Jill and Juicebox funding rounds and the shift from point tools to full-stack hiring platforms.
• That suits a piece for recruiting-technology buyers rather than hiring managers.
• For a co-authored article offering copyable sourcing tactics and a view of where recruiting tools are heading, Jain is the closer match.

The tradeoff is domain depth and voice.

• Jain writes from inside a recruiting-technology company, and both posts close by describing what Fabric does: search an existing candidate database, rank matches, start outreach after a shortlist is approved, and expand from interviews and screening into a full-stack hiring platform.
• A co-authored piece risks reading as product narrative unless the brand keeps the editorial line separate.
• The posts also lack ERP hiring detail: no Oracle, PeopleSoft, SAP or Workday module names; no named sectors such as public sector, higher education, financial services or manufacturing; and no account of screening for post-go-live or stakeholder-heavy work.
• A piece on ERP talent acquisition with Jain would lose the module-and-sector specificity that makes Amresh Kumar's posts concrete.
• The staffing brand would need to supply that substance.

Examples: Source 1 · Source 2

Herhold's subject-line post gives five categories of recruitment email subject line, with example lines and a stated best use for each: client outreach, business development to hiring companies, skeptics, active hiring managers and closing candidates.

• It also warns against sending from a CRM or a primary domain.
• That is ready-made material for a co-authored outbound playbook, with little translation needed for a staffing audience.
• The second post adds the operator's view of running a recruiting product: activation matters more than signups; a new user gets a first real result in about 24 minutes; 148 tickets were filed, mostly by the agent itself; and shipping, support and onboarding all happened in the same week.
• For a campaign about running a modern recruiting agency or launching an AI recruiting tool, that combination of outbound tactics and build-in-public detail is more useful than ERP domain commentary.

The tradeoff is subject distance and shelf life.

• Herhold writes for recruiters, agency owners and people building in recruiting and HR automation.
• The posts close with a product pitch, including an offer of a demo and free credits, which would shape a jointly authored piece.
• Neither post discusses ERP programmes, transformation hiring or the module-level skills Amresh Kumar names, so the brand would need to supply the enterprise-application content.
• The subject-line post is dated February 2025, while the other post is from October 2026.
• Email deliverability practice moves quickly, so check any reused advice against current sending rules before publication.

Examples: Source 1 · Source 2

Both posts follow that shape.

• One assembles Gartner and ISG findings on the gap between AI adoption and business results, including a study of 1,200 enterprise AI use cases where 31% of prioritised initiatives reached production and roughly one in four met growth-related return expectations.
• It then interviews a former CIO about boards moving from AI enthusiasm to documented accountability for economic impact.
• The other interviews a founder and CEO about where AI-supported decisions get their information, whether that information was validated, and what evidence survives an incident.
• For a campaign about how technology leaders should evaluate, govern and defend AI spend or cyber resilience, that framing travels further than recruiter how-to material.

The tradeoff is that this is enterprise IT strategy territory, not ERP talent acquisition.

• Neither post covers recruiting, staffing or hiring, and neither names ERP platforms or modules.
• A co-authored piece on niche ERP recruiting would start almost from scratch and lose the direct practitioner observations Amresh Kumar offers.
• Both posts take the form of executive interview summaries and research round-ups that link to longer articles, so a co-author would build on reported material rather than first-person hiring observations.
• If the campaign is specifically about reaching people who staff, screen and run ERP programmes, Kumar is the closer fit.
• Keep Cooper for an adjacent campaign aimed at the same organisations' technology leadership.

Examples: Source 1 · Source 2