Hiring tech talent has become one of the biggest challenges for companies that are not in the tech industry.
Banks, retailers, hospitals, logistics firms, and even small businesses now need software developers, data experts, or cybersecurity professionals to grow.
But the competition is tough, most skilled tech workers already have multiple offers, and many companies without a strong tech brand struggle to stand out.
The good news is, you don't need to be Google or Microsoft to attract great talent. In this blog, we'll explore practical steps, backed by research and numbers, to help you hire the right people for your needs.
Hiring Tech Talent as a Non-Technical Company
Hiring your first engineer is scary when you are not a tech company. This guide shows how to hire a tech talent as a non-technical company in plain steps you can follow.
Step 1: Define outcomes, then name the skills
Metric | Latest figure | Source |
Employers reporting talent shortages (global) | 74% | ManpowerGroup |
IT employers reporting shortages | 76% | ManpowerGroup |
Avg. time to hire a developer | ~5 weeks | CoderPad/CodinGame 2024 |
Avg. time-to-fill in engineering | ~62 days | Recruiting Resources |
Avg. cost per hire (all roles) | ~$4,700 | SHRM |
Source: Manpower
Start with the business goal, not a long tools list. Write one sentence like "ship an MVP web app to price home pick-up in 60 days," then list the skills needed to do that.
Keep "must-have" skills short and put the rest as "nice-to-have." This keeps your pool wide and focused on what really matters.
Use a skills-first lens to increase your options and improve diversity. LinkedIn's data shows skills-first hiring grows the pool for non-degree talent and can raise women's representation in under-represented jobs by 24% more than it does for men.
This is extra helpful when you do not have a famous tech brand to attract applicants. Write your JD around outcomes and skills, not degrees or prestige.
Frame the search with real hiring math so leaders have the right expectations. Most employers report talent shortages, and in IT specifically 76% of employers say they struggle to find the skills they need.
Plan your funnel around an average ~5 weeks "time to hire" for developers and expect engineering "time-to-fill" to be closer to ~62 days.
Share these numbers with your CEO early. Add budget reality next. SHRM's benchmark puts average cost-per-hire near $4,700 across roles.
Use this to size sourcing, assessments, and tool costs. Also plan for time and attention from a non-technical founder or PM to keep the process moving. Speed and structure beat brands when you are unknown.
Step 2: Choose the right hiring model
Model | What you get | When it fits | Watch-outs |
In-house FTE | Full control, long-term ownership | Core product, ongoing roadmap | Time-to-hire; more management needed |
EOR | Hire abroad without entity | Move fast into new markets | Compliance handled, but you manage day-to-day |
Staff Aug | Extra engineers on your team | Bursty capacity with your PM/tech lead | You still own delivery/quality |
Managed Vendor (SLA) | Outcome under contract | Clear scope and 24x7 ops | Scope creep; vendor lock-in |
Freelance Marketplace | One person, fast | Small tasks and prototypes | Vetting and continuity risk |
Source: ADP, TechTarget
Pick a model that matches risk, speed, and how "core" the work is.
In-house FTEs fit core, long-term product work where you want deep context. An Employer of Record (EOR) lets you hire in another country fast without opening a local legal entity.
A managed vendor or staff-aug partner can cover a scoped project or fill gaps when you lack a tech lead. Get clear on responsibilities in vendor models.
Use a Service-Level Agreement (SLA) to define scope, uptime/quality targets, and remedies. If you go with staff-aug, remember you still own velocity, QA, and delivery. If you go managed, the vendor owns outcomes; you must manage scope tight.
Example: You need a small customer portal in 90 days. If the portal is strategic and will evolve, hire an FTE via EOR in a cost-efficient market and add a contractor for UI polish.
If it's a one-off integration, a managed vendor with a crisp SLA may be faster and safer.
Step 3: Source where developers actually are
Channel | How to use it this week |
Warm referrals | Ask advisors/customers for two names who ship |
GitHub & OSS | Search issues/commits in your stack and DM |
Targeted communities | Post in role-specific forums/slacks with your outcome |
Niche job boards | Post once; follow up with outreach to top fits |
Go beyond general job boards. Post the role, but also search GitHub for repos and issues related to your stack, and invite candidates who ship code you admire.
Ask for referrals from advisors and friendly founders. Keep outreach short and tied to your clear outcome from Step 1.
Offer flexible work setups to widen your funnel. In 2024, developers report 42% hybrid, 38% remote, and 20% in-person work arrangements.
Also, 98% of remote workers in Buffer's study say they want to work remotely at least for the rest of their careers. So, state your stance up front: remote, hybrid, or office, and why.
Example: You're hiring a backend engineer for a logistics MVP. Share a short Loom of the problem and the current spreadsheet workaround, and ask for a quick async reply on how they'd model the core table.
Offer hybrid and two remote day overlap for timezone fit if you use EOR. This small change can double serious replies from senior devs.
Step 4: Screen with work samples and structured interviews
Stage | What you test | Evidence |
Kickoff (30m) | Outcome alignment | Notes: goals, constraints |
System design (45-60m) | Architecture, tradeoffs | Diagram + rubric |
Code walkthrough (60m) | Depth in your stack | PR diffs + rubric |
Team fit (45m) | Collaboration habits | Behavior rubric |
Work sample (≤2h, paid) | Real task ability | Run code + checklist |
Use structured interviews: same questions, same rubric, and score against your skills list.
Decades of research show structured interviews and work-sample tests predict performance better than ad-hoc chats. Keep questions behavioral ("Tell me about a time...") and job-knowledge based. Train interviewers to take notes and score independently.
Keep the loop short and clear. Google popularized the idea that about four interviews are enough to make a reliable decision, and long loops raise drop-off without better signals. Aim for 3-4 conversations plus one practical exercise. Share the whole plan with candidates on day one.
Example: For a full-stack role, run a 45-minute system-design chat, a 60-minute code walkthrough on your real repo, and a 45-minute teammate fit call.
Replace "whiteboard puzzles" with a work sample on a trimmed real task (e.g., add an endpoint and a test), time-boxed to two hours. Pay candidates for take-home time. You will get stronger signals and happier finalists.
Step 5: Reduce risk with a small paid trial
Role | Trial idea | Acceptance signal |
Backend | Add endpoint + test | Green tests, clear PR |
Frontend | Build a settings screen | Pixel match, a11y notes |
Data | Clean a csv + chart | Repro notebook, docs |
Mobile | Offline cache on list | Works offline, no jank |
Paid trials de-risk "bad hire" risk without dragging the process. Pick a live task that matters, is small, and touches your real code or data. Define "done" and acceptance tests in writing. Share a Slack channel and a contact to unblock them quickly.
Keep scope tight: two to eight hours max. Use the same evaluation checklist for every candidate. This gives you direct, comparable evidence across finalists. It also shows candidates what working with you feels like day to day.
Example tasks: Fix a pagination bug, write a tiny spec for a price service, or improve a flaky test.
For a data role, build one clean transformation and a basic chart. For mobile, add a simple screen with one API call and offline state. Keep IP safe by using a branch and a staging dataset.
Step 6: Make a fast, fair offer candidates can accept
Component | What to include |
Cash & Equity | Ranges, vesting, refresh timing |
Work Model | Remote/hybrid/office, core hours |
Gear & Stipends | Laptop, peripherals, home internet/coworking |
Benefits | Health, leave, learning budget |
Start & Success | Start date, 90-day goals, manager, buddy |
Speed closes talent. With ~5 weeks typical for tech hiring, every extra round or idle week risks losing your finalist.
Share comp range and equity early and confirm expectations before you draft the letter. Send a clean offer the same day you finish references.
Match the work model to market preference to widen acceptance. Developers are split between hybrid and remote, and remote workers overwhelmingly want flexibility.
Say exactly how many office days (if any), core hours, and what gear you fund. Clear policies reduce renegotiation and churn.
Example: The offer for Senior Backend Engineer includes salary, realistic equity, remote budget, and a "first 90-day goals" doc.
Add a simple sign-on tied to start date and a one-time relocation or coworking stipend if needed. Include a two-week mutual "fit" check-in and a growth plan. Close decisively and start onboarding prep.
Step 7: Onboard for impact and measure what matters
Metric | What it tells you | Quick starter target |
Deployment Frequency | How often you ship | Weekly → daily for small changes |
Lead Time for Changes | Idea to prod time | Days → hours for small PRs |
Change Failure Rate | % of releases that break | < 15% to start |
Time to Restore | How fast you fix prod | < 1 day for sev-2 |
Source: arXiv,
Plan onboarding as a sprint with clear outcomes, a buddy, and fewer meetings. Set a small "first win" in week one to build momentum. Give access to real systems and a short glossary of your domain. Keep a simple weekly rhythm: plan, build, demo.
Enable the new hire with AI tools where it makes sense and measures outcomes. Studies show AI can help developers complete coding tasks up to 2x faster, and controlled trials report ~56% faster on specific tasks, but leaders should watch for quality debt and add "speed bumps" for accuracy.
Set policies, code-review gates, and security checks from day one. Treat AI as assist, not autopilot.Track delivery with DORA metrics so everyone knows what "good" looks like. Measure Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore; share a simple dashboard and review weekly in stand-up.
These metrics balance speed with stability and help non-technical leaders see progress. Start with a baseline, then improve one metric at a time.
Conclusion
Hiring tech talent as a non-technical company is about clarity and discipline, not buzzwords. Start with the outcome you want, list the skills that deliver it, and run a short, fair, and structured process.
Use work samples, keep interview rounds tight, make a clean offer fast, and onboard with clear week-one wins and basic delivery metrics. If you don't want to build a hiring engine, use an outcome-based partner like AiDOOS that takes full ownership of delivery so you can stay focused on the business.
Execute IT Projects Seamlessly, No Hiring Needed
Skip long hiring cycles and start building right away. With AiDOOS, you spin up a Virtual Delivery Center (VDC) on demand: you share your goals and required skills, and the platform assembles the right experts, tools, and workflows, no job posts, interviews, or vendor wrangling.
Work is sliced into AiDOOS Units (AUs) and priced outcome-based, so you pay only when the deliverable is accepted, with timelines and quality checks built in.
AiDOOS owns execution end-to-end and tracks progress through its delivery platform (Project Pulse, Talent Nexus, Support Desk), giving you clear visibility while they handle day-to-day delivery.
You can scale the VDC up or down anytime as scope changes, add skills, pause teams, or expand instantly. This model maps cleanly to every step in your hiring playbook without hiring.
"Define outcomes and skills" becomes a short intake that AiDOOS uses to configure your VDC; "choose the right model" becomes outcome-based managed delivery instead of FTEs or staff-aug; "source/screen" is replaced by curated experts and platform governance; and "trial/quality" is built into AUs with acceptance criteria, timelines, and platform-level accountability.
You avoid cost-per-hire and ramp delays, and you keep control of what matters: priorities, scope, and acceptance. The result is faster starts, predictable costs, and guaranteed delivery, no hiring, no delay, just execution.
Schedule A Meeting To Setup VDC
Frequently Asked Questions
1. How can a non-technical founder hire tech talent effectively?
A non-technical founder can hire tech talent by writing a simple, skills-first job post tied to a clear outcome. Use structured interviews and a small paid work sample to test real ability. Keep the loop to 3-4 conversations and share timelines up front. If needed, bring in a trusted technical advisor to sit in interviews and review the work sample.
2. What's the biggest mistake non-tech companies make when hiring developers?
The biggest mistake non-tech companies make when hiring developers is that they hire for tool names or pedigree, not outcomes. Unstructured interviews and long loops waste time and scare away good people. Vague scopes lead to rework and "bad hire" risk.
3. Do I need a technical co-founder to build software?
No, you don't need a technical co-founder to build software. For many projects you can combine a product-minded founder, a fractional CTO or advisor, and one strong engineer or a managed delivery partner.
A technical co-founder helps if the product is very complex or core to your company for years. Otherwise, start lean and add depth as the product proves itself.
4. How can non-technical leaders identify the right developer skill sets?
Non-technical leaders identify the right developer skill sets by translating the problem into tasks and systems. For example: "pricing web app in 60 days" might mean React for the UI, a Node/Python API, Postgres, and basic CI/CD.
Ask candidates to explain trade-offs (e.g., schema choices, caching, error handling) in plain language. Use a short checklist to compare answers across candidates.
5. Should I hire full-time developers or start with freelancers?
If the work is long-term and strategic, hire full-time (or use an Employer of Record if you're going cross-border). If the work is time-bound or well scoped, start with a paid pilot using an outcome-based managed delivery like AiDOOS.
6. What are cost-effective alternatives to tech recruitment agencies?
Cost-effective alternatives to tech recruitment agencies are referrals, open-source communities, and niche job boards often bring better fit for less cost. For clear, outcome-based projects, a partner like AiDOOS can be cheaper and faster than building a full hiring funnel.
7. How does AiDOOS help non-tech companies execute projects?
AiDOOS helps non-tech companies execute projects by setting up an on-demand Virtual Delivery Center (VDC), assembles the right experts, and runs the work end-to-end so you don't need to hire.
Work is split into AiDOOS Delivery Units (AUs) with built-in timelines, quality checks, and acceptance criteria; the platform provides delivery tools (e.g., Project Pulse, Talent Nexus, Support Desk) and lets you scale up or down anytime. In short, no hiring, just execution with outcome-based pricing and platform-level accountability.