HRFunnelz gives enterprise teams a single AI talent partner — not a vendor catalog. We build dedicated pods, embed engineers into your squads, and keep a talent success manager accountable to your headcount plan.
The fastest-growing teams don’t use traditional staffing agencies. They use a partner that vets engineers the way their own CTO would, then stays accountable for the outcome.
Every engineer and AI agent is onboarded with enterprise-grade NDAs and IP assignment agreements from day one. Your code, your data, your models — fully protected across every jurisdiction.
Our vetting process scales with your volume. Whether you need 2 engineers or 20, every candidate goes through the same live pair-programming sessions on real workloads. No shortcuts at enterprise volume.
A named account manager and talent success partner own your relationship. They know your stack, your culture, and your roadmap — and they proactively surface engineers before you know you need them.
Enterprise teams get access to our AI Pod configuration service — custom-trained agents deployed to your ops layer, from AI SDRs to support agents to internal research assistants, all managed by HRFunnelz.
From a single embedded engineer to a fully-managed AI Pod. All on one flat contract, all with the same quality guarantee.
Individual engineers or small groups embedded directly into your squads. Works your hours, uses your tools, attends your standups.
A fully-configured team of 3–8 engineers and AI agents, matched to your project needs. Managed by HRFunnelz, embedded in your org.
Fully trained, deployed AI agents for ops, sales, support, and research — running 24/7 without headcount overhead.
30-minute call with your account team. We map your org structure, tech stack, and 6-month headcount plan.
Day 1
We build a hiring roadmap: roles, pod configuration, agent layer, and timeline — tailored to your priorities.
Within 3 days
Engineers and agents are vetted, matched, and delivered within 7–10 days. Interview free, as many rounds as needed.
Within 10 days
Your team goes live. Your account manager monitors performance, manages scaling, and handles any replacements proactively.
Ongoing
Every enterprise engagement comes with written SLAs, IP agreements, and performance guarantees. Not a best-effort relationship — a contract-backed commitment.
Engineer retention at 2+ years across all enterprise placements
Placement fee — ever. One flat monthly rate regardless of headcount
Guaranteed SLA response time on all enterprise account requests
We scaled from 3 to 18 AI engineers in 6 months using HRFunnelz Pods. The pod model means we didn’t have to manage 18 individual contractor relationships — one account manager, one invoice, one point of accountability.
★★★★★
The IP protection onboarding was the thing that got our legal team across the line. Every engineer signed enterprise-grade agreements before their first day. That’s not something traditional staffing firms do consistently.”
★★★★★
We were spending over $600K a year in agency placement fees before switching. HRFunnelz’s flat model cut that to nearly zero. We reinvested the savings into two more pod slots and accelerated our roadmap by a full quarter.
An AI Pod is a pre-configured team of 3–8 engineers and AI agents, assembled and vetted by HRFunnelz to match your specific technical needs. We handle pod composition, onboarding, tooling setup, and ongoing performance management. Your team interacts with the pod like any embedded squad — standups, sprint planning, Slack — while HRFunnelz stays accountable for quality and headcount continuity.
Pod changes take effect with 30 days’ notice — there are no lock-in periods, no severance costs, and no renegotiation required. Scaling up typically means new vetted profiles within 7–10 days. Scaling down is a simple notice to your account manager. We design the engagement model specifically to match enterprise budget cycles and planning cadences.
Yes — and we recommend it for most enterprise teams. A typical pod might include 4–6 human AI engineers who build and oversee the technical stack, plus 2–3 AI agents handling repetitive ops tasks (SDR outreach, support tickets, research summaries). The human engineers can also configure and maintain the agents, creating a self-improving loop within your pod.
Enterprise SLAs include: 24-hour response time on account queries and talent requests; a named account manager and talent success partner; quarterly headcount planning sessions; proactive replacement initiation (we flag performance issues before you have to); and replace-at-no-cost on all placements with no time limit. The full SLA terms are provided in your enterprise contract for legal review.
Yes. There are no per-hire placement fees at any volume. Enterprise pricing is structured as a monthly retainer that scales with pod size — not a percentage of salary or a per-head bounty. The more engineers you bring on, the lower your per-head cost. We’ll provide a custom quote based on your headcount plan during the scoping call
Book a 30-minute enterprise scoping call. We’ll map your headcount needs and return a custom talent plan within 3 days — no commitment required.
