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Director Of Applied Technology Jobs (NOW HIRING)

Garner Health

Director, Applied Science

New York, NY · On-site

What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're ... Technologies we use: * Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern ...

Garner Health

Director, Applied Science

New York, NY · On-site

What you'll be part of Garner is on a mission to transform the U.S. healthcare system -- and we're ... Technologies we use: * Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern ...

Talanto

As a Director of Engineering, you'll operate at "tech-giant" scale, leading engineers and technical ... You'll grow your team of engineers and applied scientists by example with effective feedback ...

Peregrine

Lead of Applied AI

San Francisco, CA · On-site

The Lead of Applied AI will be responsible for applying, evaluating, and operationalizing ... • Direct ownership of model evaluation, experimentation, and quality measurement • Strong ...

Metropolis

Director, Applied AI

New York, NY · On-site

$225K - $265K/yr

Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI ... Show a track record of driving organizational change through technology and ensuring tools are ...

Metropolis

Director, Applied AI

Seattle, WA · On-site

$225K - $265K/yr

Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI ... Show a track record of driving organizational change through technology and ensuring tools are ...

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Director Of Applied Technology information

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$43.5K

$116.8K

$201K

How much do director of applied technology jobs pay per year?

As of Sep 11, 2026, the average yearly pay for director of applied technology in the United States is $116,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What does a director of applied technology do?

A Director of Applied Technology leads the implementation and management of technology solutions within an organization to improve business operations and achieve strategic goals. This role involves overseeing technology projects, managing teams of IT professionals, and collaborating with other departments to align technology initiatives with organizational needs. They are responsible for staying up-to-date with emerging technologies and ensuring that the company's technology infrastructure supports its long-term objectives.

What are the key skills and qualifications needed to thrive as a director of applied technology, and why are they important?

To thrive as a Director of Applied Technology, you need expertise in technology strategy, project management, and a strong background in computer science or engineering, often supported by an advanced degree. Familiarity with enterprise IT systems, cloud platforms, and certifications like PMP or AWS Certified Solutions Architect are highly valued. Outstanding leadership, communication, and change management skills help you effectively guide teams and collaborate with stakeholders. These competencies ensure successful technology adoption, drive innovation, and align tech initiatives with organizational goals.

How does a director of applied technology typically collaborate with other departments to drive innovation?

Directors of Applied Technology regularly partner with leaders from departments such as product development, IT, and business operations to identify and implement technology solutions that support organizational goals. They facilitate cross-functional meetings to align technical initiatives with business needs, translate complex technical concepts for non-technical stakeholders, and ensure projects meet both technical and strategic objectives. Effective collaboration is key to ensuring that technology investments deliver measurable value and foster a culture of innovation across the company.

What is the difference between Director Of Applied Technology vs Product Manager?

AspectDirector Of Applied TechnologyProduct Manager
CredentialsTypically requires a bachelor’s or master’s degree in technology, engineering, or related fields; certifications like PMP or Agile are commonUsually holds a bachelor’s degree in business, marketing, or related fields; certifications like Scrum or PMP are beneficial
Work EnvironmentLeads technical teams, oversees technology implementation, and collaborates with R&D and engineering departmentsFocuses on product development, market research, and cross-functional team coordination
Industry UsageCommon in tech, manufacturing, and engineering sectorsWidely used in software, tech, and consumer goods industries

The main difference is that the Director Of Applied Technology focuses on leading technological initiatives and teams, while the Product Manager concentrates on product development and market strategy. Both roles require technical understanding but serve different organizational functions.

What cities are hiring for Director Of Applied Technology jobs?

Cities with the most Director Of Applied Technology job openings:

What are popular job titles related to Director Of Applied Technology jobs?

For Director Of Applied Technology jobs, the most frequently searched job titles are:

Infographic showing various Director Of Applied Technology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,795 per year, or $56.2 per hour.

Director, Applied Machine Learning

San Francisco, CA • On-site

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Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

As Director of Applied ML, you'll lead the function that sits at the intersection of frontier AI research and enterprise-scale delivery. You'll own three core pillars: post-training and RL environments, scaled post-training infrastructure, and strategic project support across our lab partnerships. You think like an applied researcher, lead like an operator, and move fluidly between technical depth and client‑facing strategy.

You'll build and grow a team, set the technical standards for how the team engages with frontier labs, and help shape the roadmap as we scale, not just execute against it. This is a rare opportunity to lead at the frontier of gen AI, with direct visibility into where model training is headed before the rest of the world sees it.

Location: San Francisco, CA | Hybrid, 3x a week in office

What you’ll do
  • Lead post‑training and RL environment strategy — you don't need to be the deepest technical expert, but your team needs to be able to lean on you for real guidance grounded in lab experience
  • Build and scale the infrastructure and team needed to run post‑training at scale across multiple applied use cases
  • Own strategic project support across lab engagements — leading your team through a dynamic, evolving roadmap rather than executing the work solo
  • Manage and grow a team including AI Engineers, Research Scientists and AI Forward Deployed Engineers, with a path toward managing managers as the org scales
  • Partner directly with AI lab researchers and internal stakeholders across engineering and operations, translating ambiguous priorities into clear direction for your team
  • Maintain direct customer relationships, following up, communicating progress, and building trust with technical partners
  • Bring organizational maturity to a fast‑growing team: solve today's problems with today's resources while planning several steps ahead
  • Stay current on the frontier: RL, post‑training, and evaluation methods, bringing relevant insight into both team strategy and customer conversations
What we’re looking for
  • Experience leading and growing technical teams, ideally with a research background in applied ML or AI
  • Technical depth in applied AI systems design and model post‑training (GRPO/PPO, SFT, or similar) enough to support a research‑leaning team, though you don't need to have trained frontier models yourself
  • Experience building and scaling teams or infrastructure in an applied, production environment
  • Strong cross‑functional leadership, comfortable working across engineering and operations, and managing shifting timelines with a team in tow
  • Excellent client‑facing communication skills — you can translate technical work into business impact and hold your own with both researchers and customers
  • Organizational maturity and comfort with ambiguity — you'll need to be creative in solving problems as they arrive
Extra Credit
  • Prior lab experience deploying or training agents for applied, real‑world use cases
  • Experience managing managers or scaling a team through multiple growth stages
  • Familiarity with evaluation frameworks, annotation tooling, or human feedback collection at scale
Perks
  • Ownership: Equity in a fast-growing company
  • Financial Wellness: 401(k) match, competitive compensation, financial coaching
  • Family Support: Paid parental leave, fertility benefits, parental coaching
  • Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
  • Growth: $2,000 learning stipend, ongoing development
  • Office: Commuting support, free lunch, and gym in our SF office
  • Time Off: Flexible PTO, 15 holidays + 2 flex days
  • Connection: Team outings & referral bonuses
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