Fractional AI Engineers
for RevOps Teams
Hire pre-vetted, highly autonomous AI engineers who start in days, scope the work, and build.
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The automation backlog your RevOps team never gets to
Most RevOps teams already have the tools. The problem is the manual work between them.
Someone is still stitching together the data leadership needs every week — scrubbing pipeline, chasing missing fields, flagging stale deals, rebuilding the forecast view. That work doesn't disappear. It just sits on someone's plate instead of running automatically.
- ×CRM data is incomplete — someone cleans it manually before every forecast call
- ×Lead routing logic lives in someone's head, not enforced in the CRM
- ×Forecast dashboards are rebuilt by hand every week from the same sources
- ×High-value accounts go dark and nobody finds out until the deal is cold
- ×Stage conversion drop-offs aren't visible until leadership asks
- ×Gong, Outreach, Salesforce, and Slack don't talk to each other without someone in the middle
// the fix
An engineer embedded in your team
- ✓Starts building in 2–3 days.
- ✓Scopes the work with you.
- ✓Builds inside your existing stack.
- ✓Ships automations your team keeps.
- ✓Starts from 20 hrs/month.
- ✓No long-term commitment.
How it works
30-min call with one of our engineers
Not a sales call. They ask the right questions, listen to how your team operates, and tell you exactly what they'd build — before you commit to anything.
FreeWe map your biggest bottleneck
You walk through where your team is losing the most hours. The engineer explains what gets built, what it connects to, and what it replaces — in plain terms.
You buy a package of hours
No retainer. No long-term commitment. Buy the hours you need and use them for the work you agreed on. Most teams start with a 40-hour block — enough to get a working automation live and see the impact before adding more.
Pay as you goYour engineer embeds with your team
They start in 2–3 days. They work in your stack — Salesforce, HubSpot, Gong, Outreach, Slack — alongside your people, on the workflows you identified together. Everything they build is yours to keep.
Starts in 2–3 daysWhat Near engineers build for RevOps teams
Automated deduplication, field validation, and cleanup — so your data is accurate before leadership ever looks at it.
Rules-based routing that runs automatically — by territory, segment, or rep capacity.
Live pipeline views and automated alerts — no manual scrub before the call.
Automatic alerts when accounts go dark, enriched with the context reps need to re-engage.
Weekly surfacing of where deals stall — by stage, rep, segment, or source.
Connected stack, unified signals — call data, email sequences, and CRM in one place.
Why Our Clients
Choose Near
Talk to one of our Engineers
Pre-vetted, highly trained engineers.
We leverage our local market expertise across Latin America to identify and screen the best AI engineering talent. Every engineer is vetted for technical depth, communication, and autonomy — with a proven track record to back us up.
Four ways teams try to solve this. One that ships.
Full-time AI hire
$150K–$180K/year
You need 40 hours a week of work for them. Most RevOps teams don't have a backlog that size — yet.
Near
Start at 40-hour package. Pay for hours worked.
Start next week. Add hours as you go. Stop when you want.
AI consulting firm
Months before anything ships
Scoping alone takes 2–3 months. Working software doesn't arrive until month four or five.
Near
Engineer starts in 2–3 days
They scope the work and build at the same time.
Off-the-shelf tools
Built for average workflows, not yours
They require customization you don't have engineers to do. So you build workarounds instead.
Near
Built on your stack, for your workflows
Your data stays where it is. No new platform to learn. No migration.
Doing it yourself
A backlog that keeps growing
No time, no dedicated engineering resource. Good ideas sit in a doc and never ship.
Near
One dedicated engineer, autonomous
They scope, they build, they ship. You review the output, not the process.
FAQ
What have other RevOps teams built with Near engineers?+
CRM hygiene and deduplication workflows, automated lead routing by territory and segment, forecast dashboards that pull live from Salesforce or HubSpot, stale deal and dark account alerts, pipeline stage leak reports, and cross-tool integrations connecting Gong, Outreach, Slack, and internal data. Most teams start with whichever of these is costing the most manual hours.
Can clients hire the engineer full-time?+
Yes. You can start with a package or two to see how the engineer works with your team. If it's a good fit, you can convert them to a full-time hire. A lot of our clients go that route.
What does the engineer vetting process actually look like?+
Every engineer goes through Near's technical screening before they're placed. We test for engineering fundamentals, AI and automation tooling, and the ability to work independently on ambiguous problems — not just follow a spec.
Can we stop anytime? What are the commitment and package options?+
You buy a package of hours based on what you need. There's no long-term contract or retainer. Use the hours, see what gets built, and decide from there.
What's the average engineer background — experience level and tech stack?+
Our engineers have several years of software and automation experience, including the AI and workflow layer on top — Claude, ChatGPT, n8n, Make, Zapier, and Python. They're also fluent in the GTM tools you're already running: Salesforce, HubSpot, Gong, Outreach, and Slack.
What teams say after hiring a Near engineer
The engineers Near provided are incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.
Ashley Black
Ex-Head of Sales @ Google
Founder, Candid Consulting
Near was a game-changer for our business. We increased lead generation by 100% with automations built by talent we hired through Near.
Sumner Vanderhoof
Co-founder & CEO
Propensity
Book the call. Bring your biggest automation backlog. We'll scope it in 30 minutes.
Talk to one of our engineers