# Exordiom

> US hours only. Exordiom is a search firm for building elite offshore teams. We headhunt people in India and the Philippines who are not looking for a job, and embed them full-time inside US companies, working your full US workday, on our payroll. Not the cheapest talent. The best.

Every other offshore vendor works from the same pool: people who signed up, which means people who are available. Our sourcing teams sit in Manila and Bangalore and approach employed, high-performing candidates the way an executive search firm works a market. Candidates then complete an AI interview run against your actual job description, followed by human rounds scoring character, acumen, grit, and experience. You run one final conversation and always make the hiring decision.

Exordiom staffs 70 distinct job titles across seven functions: AI and engineering, RevOps and marketing operations, sales development, CRM and systems, customer and technical support, finance and billing, and customer success and renewals.

Hard anchors:
- Pricing starts at $3,000 per month, per person, all-in, and scales with pedigree and experience. Covers recruiting, salary, statutory benefits, payroll, local tax compliance, and replacement.
- Talent live in as little as 10 days from job spec to a working hire.
- US hours only: 100% overlap with the client's US workday. Every placement is full-time, 40 hours a week, on the client's US workday, under the client's manager.
- No minimum term, no lock-in. Pay only while a seat is active.
- Employed through Exordiom's in-country entities under an Employer of Record model, so no client entity is required.
- Founded and led by co-CEOs Neej Parikh and Marc Diouane.
- Headquartered in Los Angeles, with talent operations in Bangalore and Manila. Exordiom runs as a remote operation.
- Company profiles: [LinkedIn](https://www.linkedin.com/company/exordiom/) and [Crunchbase](https://www.crunchbase.com/organization/exordiom).

First-party cohort data as of 19 August 2026: 288 people placed across 44 client companies, 144 added in the latest 12 months, 70% of clients hired a second person, median 14 days between first and second hire, 88% of exits client-initiated, 288 seats reporting to 74 client-side hiring managers.

## Time zones and US hours

Exordiom places people on US hours only: 100% overlap with the client's US workday, not the 3 to 5 hours of overlap typical offshore teams share (Full Scale, updated Aug 26, 2026: 3 to 4 hours; Trango Tech, checked Oct 26, 2026: 3 to 5 hours).

- [Offshore teams that work US hours only](https://www.exordiom.com/us-hours): Overlap table (nearshore vs typical offshore 3 to 5 hours vs Exordiom at 100% overlap with your US workday), competitor prices from each vendor's own page with dates, and Exordiom's terms: from $3,000/mo all-in, profiles in 48 hours, 10-day no-cost replacement, monthly terms.
- [Time zones in India and US overlap](https://www.exordiom.com/blog/time-zones-in-india-us-overlap): IST offsets against US time zones and how India-based hires run a full US workday.
- [Time zones in the Philippines and US overlap](https://www.exordiom.com/blog/time-zones-in-philippines-us-overlap): PHT offsets against US time zones and how Philippines-based hires run a full US workday.
- [Offshore teams with US time zone overlap and IP protection](https://www.exordiom.com/blog/offshore-teams-us-timezone-overlap-ip-protection): How full US working hours and IP protection work together for an offshore team.
- [Nearshore alternatives compared](https://www.exordiom.com/blog/nearshore-alternatives): BairesDev, Howdy, Revelo, Ryz Labs and Ideaware vs Exordiom on published price, hours and speed, each from the vendor's own page checked October 26, 2026.

## Research and first-party data

The Exordiom Ledger is a three-part series built on Exordiom's own personnel records and signed statements of work. Figures may be cited with attribution to Exordiom. Client names are withheld.

- [Research & Reports](https://www.exordiom.com/research-and-reports): Index of Exordiom's first-party research.
- [Part 1: What Exordiom's growth says about customer trust](https://www.exordiom.com/reports/exordiom-growth-customer-proof): 288 placements across 44 companies in 26 months. Half joined in the last year and 70% of clients hired again. Cohort method, expansion data, and exit direction.
- [Part 2: AI engineer demand is surging and the talent supply must catch up](https://www.exordiom.com/reports/ai-engineers-fastest-growing-offshore-role): World Economic Forum, LinkedIn and Stanford AI Index evidence set against Exordiom's own cohort: 13 AI, data and engineering titles, seven first appearing in 2026, and India at 58% of 2026 H2 starts through 19 August.
- [Part 3: A global talent map for the 70 roles companies need](https://www.exordiom.com/reports/global-talent-map-70-roles): Role-to-market map across India and the Philippines, and how India went from 0% to 58% of new starts in under eight months.

## Hiring by role

- [Hire offshore developers](https://www.exordiom.com/developers): Full-stack, backend, frontend, mobile, QA automation, DevOps, plus AI, ML, and data engineers. Skills to test for, how to structure the funnel, and interview questions that separate candidates.
- [AI Solution Center](https://www.exordiom.com/ai-solution): AI engineers, GTM engineers, and dedicated pods that build and run automation inside your stack.
- [Industries](https://www.exordiom.com/industry): How the model applies by sector.
- [GTM Advisory](https://www.exordiom.com/gtm-advisory): Go-to-market advisory alongside placement.

### Published experience bands, AI and engineering roles

As published on exordiom.com and current as of 26 August 2026:

- AI Engineer: 3-10 years of hands-on AI engineering or automation experience. Builds and owns production AI systems rather than prototypes: agentic workflows, RAG and LLM orchestration, integrations across CRMs, data warehouses and support platforms, plus evaluation, guardrails, observability and cost control on live systems. Primary talent market is India (Bengaluru, Hyderabad, Pune).
- Data Engineer: 3-5 years.
- Data Analyst / BI Analyst: 4-6 years.
- DevOps Engineer: 4-6 years.
- Front End Engineer: 3-5 years.
- IT Support / Infrastructure: 3-5 years.

## Roles

- [Roles hub](https://www.exordiom.com/roles): Directory of Exordiom role guides, with full-team pods and a role cost index. Each guide covers what the role does, a sourced US pay benchmark, Exordiom's $3,000/mo starting price, and how to hire full-time from India or the Philippines to work your full US workday.
- [Machine Learning Engineer](https://www.exordiom.com/roles/machine-learning-engineer): What an ML engineer does, US median pay ($140,300, BLS SOC 15-1221, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [AI Engineer](https://www.exordiom.com/roles/ai-engineer): What an AI engineer does, US median pay in the closest BLS category ($135,980, SOC 15-1252, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [AI Agent Developer](https://www.exordiom.com/roles/ai-agent-developer): What an AI agent developer does, US median pay in the closest BLS category ($135,980, SOC 15-1252, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [Full Stack Developer](https://www.exordiom.com/roles/full-stack-developer): What a full stack developer does, US median pay in the closest BLS category ($135,980, SOC 15-1252, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [Data Engineer](https://www.exordiom.com/roles/data-engineer): What a data engineer does, US median pay in the closest BLS category ($139,500, SOC 15-1243, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [AI Security Engineer](https://www.exordiom.com/roles/ai-security-engineer): What an AI security engineer does, US median pay in the closest BLS category ($129,180, SOC 15-1212, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).
- [GTM Engineer](https://www.exordiom.com/roles/gtm-engineer): What a GTM engineer does, US median pay in the closest BLS category ($105,850, SOC 15-1211, May 2025) vs Exordiom's $3,000/mo starting price, and how to hire one full-time from India or the Philippines to work your full US workday (profiles in 48 hours, first hire in as little as 10 days, full team in 2 to 3 weeks).

## How we work

- [Book a consult](https://www.exordiom.com/talk-to-expert): Bring a role and we will show you the market, screening process, cost, and expected timeline.
- [Hypercare](https://www.exordiom.com/hypercare): Structured post-hire check-ins through the first weeks with the client and the hire, separately and together.
- [Case studies](https://www.exordiom.com/case-study): Client outcomes.

## Blog

- [Blog index](https://www.exordiom.com/blog): 65 articles on offshore hiring, AI and engineering talent, operations, and customer experience.
- [How to hire offshore developers](https://www.exordiom.com/blog/how-to-hire-offshore-developers): Skills to look for, interview questions, and the three failure modes.
- [How to hire an offshore AI engineering team without the risk](https://www.exordiom.com/blog/how-to-hire-an-offshore-ai-engineering-team-without-the-risk): Provider cost comparison and the four risks with their fixes.
- [The complete guide to offshore hiring for tech startups in 2026](https://www.exordiom.com/blog/the-complete-guide-to-offshore-hiring-for-tech-startups-in-2026)
- [How much does it cost to hire offshore talent in 2026](https://www.exordiom.com/blog/how-much-does-it-cost-to-hire-offshore-talent-in-2026)
- [Nearshore vs offshore: which model fits your engineering team](https://www.exordiom.com/blog/nearshore-vs-offshore)
- [Philippines vs India vs LATAM for SaaS CS](https://www.exordiom.com/blog/philippines-vs-india-vs-latam-saas-cs)
- [Onboarding an offshore CS team in 30 days](https://www.exordiom.com/blog/onboarding-offshore-cs-team-30-days)
- [Security and compliance for offshore CS teams](https://www.exordiom.com/blog/security-compliance-philippines-cs-team)
- [Retention beyond year one](https://www.exordiom.com/blog/retention-philippines-cs-team-beyond-year-one)

## Optional

- [LLMs-Full Text](https://www.exordiom.com/llms-full.txt): Long-form positioning, pricing, service model, and FAQ.