How we work with you

We start from your stack and business problem, not a keyword search.

Before we touch a boolean string, we study how your tools fit together, what problems the integrations are solving, and where things tend to break. Then we go find people who have actually shipped and supported flows like yours – or are clearly ready for that step.

You don't write a 3-page job description for us. You tell us the systems, the domain, and what "success" looks like after the hire.

Concrete examples from iPaaS teams

A few representative searches and advisory engagements to show how deep we go into the stack and flows. These are anonymised, but map closely to real projects we work around every day.

Example · Workato staffing – SaaS Revenue Stack

In-house Workato team for a high-growth SaaS company

Talent search

Stack: Salesforce (Sales Cloud) + NetSuite + Snowflake, with Workato as the primary iPaaS.
Business focus: Quote-to-cash, ARR reporting, and usage-based billing.
Pain points: Month-end was noisy: duplicate invoices, sync races between Salesforce opportunities and NetSuite sales orders, and Workato jobs retrying at the worst possible time.
What we looked for: Workato developers who had:
Built recipes across Salesforce & NetSuite
Tuned concurrency, retries and idempotency keys for large jobs
Owned post-go-live support for financial integrations

Result: the hiring manager interviewed 3 profiles; 2 went to onsite; 1 senior Workato engineer hired to own the rev-stack recipes and harden month-end processing.

Example · Workato advisory – HR & IT

Architecture review for noisy HR & access automations

Integration advisory

Stack: Workday (core HR) + Okta + Google Workspace + Jira, orchestrated via Workato.
Business focus: Joiner-Mover-Leaver flows, access provisioning, and off-boarding.
Pain points: Multiple Workato recipes firing on the same Workday event, inconsistent de-provisioning, and no clear ownership of error queues.
What we did: Lined up architects who had:
Designed event-driven joiner / leaver patterns in Workato
Consolidated overlapping recipes into opinionated orchestration flows
Introduced run-ops dashboards and on-call playbooks

Result: 2-week advisory engagement to review recipes, propose a target state, and outline a hiring plan for an in-house Workato lead plus a small run-ops pod.

Example · Celigo – B2B subscriptions

Celigo lead for a NetSuite & Shopify B2B stack

Talent + advisory

Stack: Shopify Plus + NetSuite + Celigo, with subscription billing in NetSuite and renewals in Salesforce.
Business focus: B2B ecommerce orders, entitlement sync, and renewals forecasting.
Pain points: Each SI had left behind slightly different Celigo flows, with overlapping mappings and no clear owner for changes.
What we did: We targeted Celigo specialists who had:
Owned Shopify/NetSuite order and inventory sync in Celigo
Cleaned up historical integration debt from multiple SIs
Worked with finance on revenue recognition impacts

Result: a Celigo lead hired to own the integration map and act as internal "traffic control" between ecommerce, ops and finance.

Traditional recruiting vs. iPaaSTalent

This is not a volume play. We'd rather send two very relevant people than fifty generic ones.

Traditional approach

Job description driven, keyword matching in a generic ATS.
Limited understanding of iPaaS patterns, rate limits, or downstream systems.
30–50 candidates shared, most with partial or indirect experience.

iPaaSTalent approach

We start from your Salesforce / NetSuite / Workday / Snowflake landscape and critical flows.
Shortlist people who have owned similar recipes, error patterns, and go-live environments.
Blend pure hiring with integration advisory when it helps you frame the role correctly.

Curious whether your iPaaS roadmap fits what we do? Send us a note with your stack and upcoming projects.