Careers

Build the Systems Behind
Enterprise Automation

We combine AI engagement, human SDR verification, and evidence-backed workflows across 26 industries. If that's the kind of problem you want to work on, here's where to start.

23Industries Served
AI + HumanVerification Model
Miami, FLHQ

How We Work

The same principles that show up in our client-facing platform show up in how we hire and build internally.

Evidence Over Assertion

Every workflow we ship is logged, timestamped, and auditable. We hold our own claims to the same standard we hold client results to.

Human Judgment, AI Speed

We don't automate away accountability. SDR verification sits in the loop on every high-stakes decision our systems make.

Zero-Trust by Default

Access is controlled, actions are logged, and nothing about a client's data or workflow is left to informal process.

Own the Outcome

We work across 26 industries, each with different constraints. We'd rather have people who adapt the system than people who wait for a spec.

Ship Small, Verify Fast

Workflows are built to be tested against real KPI outcomes, not shipped and forgotten. Feedback loops are short by design.

Direct, No Theater

We'd rather tell a client, or a candidate, an honest 'not yet' than an inflated 'yes.' That standard applies internally too.

Find Your Track

Pick the functional area closest to what you do, then see what that work actually looks like here.

AI & Automation Engineering

You'd be building and hardening the engagement-scoring, no-show-prediction, and booking-automation systems this whole platform runs on — with an SDR verification layer in the loop, so accuracy and auditability matter as much as raw model performance.

LLM toolingWorkflow automationEvidence loggingProduction ML
Express Interest — AI & Automation Engineering

What We Look For

  • You verify before you ship.Whether it's a model output, a workflow, or a client-facing claim, you check it against evidence before it goes out.

  • You're comfortable across ambiguity.26 industries means 26 sets of edge cases. We need people who can generalize a system, not just execute a fixed spec.

  • You treat automation as a tool, not a shortcut.AI accelerates our workflows; it doesn't replace the judgment that makes them trustworthy.

  • You'd rather be right than be first.We move fast, but not at the expense of the audit trail. If something needs a second look, you take it.

Open Roles

We don't keep a fixed job board running. We hire selectively, when a real need shows up in one of the functional areas above. That's a deliberate choice, not a placeholder: it's the same evidence-over-assertion standard we hold our platform claims to. If a track above sounds like your work, reach out directly. We read every message.

Email careers@skyoutreach.com

Frequently Asked Questions

Do you have specific open roles listed right now?

Not on a fixed job board. We hire selectively as real functional needs come up across the four areas above, rather than keeping evergreen listings open. If a track resonates, reach out directly and we'll follow up when there's a real fit.

What's the interview process like?

It varies by role and area, generally including a conversation about the work itself and a practical look at how you approach a real problem similar to what the team is solving. We don't publish a fixed step-by-step here since it isn't the same for every track.

Is Sky Outreach remote, hybrid, or in-office?

This depends on the specific role and team need. Ask directly when you reach out: we'd rather give you an accurate answer for your situation than a generic policy line.

I don't see my exact skill set in the four tracks above, should I still reach out?

Yes. The tracks describe the platform's current functional areas, not a hard filter. If you think there's a real fit, tell us why in your message.

Don't See a Perfect Fit?

Tell us what you'd bring to the team. We'd rather hear from you now than miss the right person because of a job title.