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Director, Forward Deployed AI Engineering

Natera, Inc. - US Remote

Posted May 13, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 7, 2026
Salary
$187K-$233K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

80% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Director Plus From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Director, Forward Deployed AI Engineering US Remote About the Role The Head of AI Solutions will lead a Forward Deployed AI engineering team and owns the delivery of AI-powered workflow transformation across Sales & Marketing, Finance, Legal, HR, Business Development, Business Operations and other related G&A functions. This is a player-coach role in the truest sense: you lead a team of Forward Deployed AI Solutions Engineers, but you are also consistently in the work alongside them - scoping workflows, building, debugging, and iterating in production. We believe the pace of change in AI makes proximity to the work non-negotiable at every level of the organization. The expectation is that roughly half your time is spent building and shipping alongside your engineers, using that firsthand knowledge to make better prioritization calls, give feedback, and earn the trust of both your team and the business stakeholders you serve. You partner closely with the AI Platform team to ensure every workflow transitions cleanly to long-term ownership, and you bring patterns and reusable assets back to the broader AI & Automation organization. What You'll Own Build and ship alongside your team - Spend meaningful time as a hands-on contributor - scoping workflows end-to-end, building agents and automation pipelines, debugging integration issues, and tuning prompts and context in production. - Set the technical bar through your own work: production-grade evals, observability, clean handoff documentation, and rigorous testing before anything ships. - Jump in when a deployment is stalled, a system integration is unexpectedly gnarly, or

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