G
4.9 out of 5 ★★★★★

Fractional AI Engineers
for Sales Teams

Hire pre-vetted, highly autonomous AI engineers who start in days, scope the work, and build.

Talk to one of our engineers Discuss one of your workflows or ideas
25+ Actively deployed AI Engineers
working with our customers
30+ B2B sales teams we're actively
working with
Milestone

Clients
Love Us

★★★★★
Winter 2026

High
Performer

Spring 2026

High
Performer

// the problem

Your reps are selling less than they should be

They're spending too much time on CRM updates, follow-ups, call notes, and admin. And you lack clean visibility into what's actually moving deals forward — or killing them.

The data is already in your stack — in Salesforce, HubSpot, Gong, Outreach. There's just no system connecting it or acting on it.

  • ×Reps spending hours on CRM updates, call notes, and follow-up drafts after every call
  • ×Stalled deals going unnoticed until the rep moves on or the buyer goes dark
  • ×Inbound leads sitting for hours before anyone responds
  • ×No visibility into which objections, stages, or behaviors are killing deals
  • ×Pipeline reviews built on gut feel instead of activity and engagement data
  • ×Call recordings sitting unreviewed in Gong or Chorus — coaching signals going unread
// internal proof. before we sold this, we used it.

Four numbers from our own Sales Team.

We didn't sit around waiting. We embedded an engineer in our own ops, got deep in the workflows, and started shipping and iterating. The numbers below are what clients see when they build automations with us.

Inbound lead response time

4 hrs 3 min

Inbound calls taken per AE / month

40 60

Sales cycle, first call to signed

22d 15d

Close rate, calls had to contract signed

22% 29%
// how it works

How it works

1

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.

Free
2

We discuss your biggest bottleneck

You map out where reps are losing the most hours or where deals are dying. The engineer shares how they'd solve it — what gets built, what it connects to, what it replaces.

3

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 go
4

Your engineer embeds with your team

They start in 2–3 days. They work in your stack — Salesforce, HubSpot, Gong, Outreach — alongside your people, on the workflows you identified together. Everything they build is yours to keep.

Starts in 2–3 days
// what we build

What Near engineers build for sales teams

Problem
Solution
×Reps spend hours after every call on CRM updates and call notes.
CRM auto-update agent.

Calls and emails write back to Salesforce or HubSpot automatically. No rep input needed.

×Stalled deals go cold before anyone notices.
Deal risk alerts.

Flags deals that have gone quiet, missed next steps, or are moving slower than similar won deals.

×Follow-up slips between calls. The window closes.
Follow-up agent.

Drafts outreach for stalled deals and surfaces them to the rep before the opportunity is gone.

×Inbound leads wait hours for a first response.
Inbound response automation.

Qualifies the lead, personalizes the reply, and books straight into a rep's calendar in under 5 minutes.

×Leaders go into forecast calls without clean data.
Pipeline visibility dashboards.

Surfaces deal health, rep activity, and engagement signals in one view — built on your CRM data.

×Call recordings sit unreviewed in Gong or Chorus.
Interaction analysis.

Surfaces recurring objections, patterns in won vs. lost deals, and rep coaching signals automatically.

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.

// vs alternatives

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 teams don't have that scoped 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 your team works around them.

Near

Built on your stack, for your workflows

Your data stays where it is. No new platform to learn. No migration.

Doing it yourself

Unfinished projects

No time, no dedicated person. Good ideas, no follow-through.

Near

One dedicated engineer, autonomous

They scope, they build, they ship. You review the output, not the process.

// common questions

FAQ

What have other sales teams built with Near engineers?+

CRM auto-update workflows for Salesforce and HubSpot, deal risk alert systems, follow-up agents that flag stalled deals and draft outreach, inbound lead qualification and booking automation, pipeline visibility dashboards, and interaction analysis tools built on Gong or Chorus data. Most teams start with whichever workflow is costing the most rep hours or killing the most pipeline.

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 automation layer on top — Claude, ChatGPT, n8n, Make, Zapier, and Python. They're also fluent in the tools sales teams already run: Salesforce, HubSpot, Gong, Chorus, Outreach, Salesloft, and Apollo.

// what clients say about near engineers

What teams say after hiring a Near engineer

AI 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

AI Engineer

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

AI Engineer

Near has allowed us to nearly double our caseload without doubling our in-office staff.

Kathy Patterson

Operations Manager
California Consumer Attorneys

Book the call. Walk us through your pipeline and your stack. We'll tell you exactly what we'd build — and what it would unlock.

Talk to one of our engineers