Director of Digital Operations Jobs
Director of Digital Operations jobs are open across technology, healthcare, financial services, retail, and media, at every level from senior manager to VP, with specializations in platform management, digital transformation, and cross-functional process optimization. Scan the live roles below and apply to whichever ones fit.
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About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
At Hark, you'll lead the development for the foundation of agentic reinforcement learning (RL) environments: the digital worlds in which AI agents learn to use software, navigate complex workflows, and act on their surroundings. Our ambition is to simulate the breadth and complexity of the internet, connecting websites, apps, services, and artifacts into rich, stateful environments, with the potential to evolve dynamically over time.
This is a chance to shape both the worlds agents learn in and the systems that make learning at scale possible. You'll build environments end-to-end and work closely with researchers to bring them into RL training and evaluation. You'll also develop the infrastructure behind our agent gym, making these environments easy to integrate, reproduce, and scale across heterogeneous execution targets.
Responsibilities
- Build agent environments and simulations end-to-end, including frontend interfaces, backend services, APIs, data models, tools, and realistic workflows used to train and evaluate AI agents.
- Build the infrastructure that powers our agent gym, including orchestration, sandboxing, packaging, benchmarking, and systems for running environments across heterogeneous targets.
- Create interconnected simulations with coherent behavior and shared state across websites, apps, and artifacts. Explore dynamic environments with changing content, background activity, and events over time.
- Partner with researchers to integrate environments into RL training and evaluation pipelines, building reusable agent interfaces, environment lifecycle APIs, and reliable collection of trajectories and artifacts.
- Build infrastructure that supports thousands of concurrent sandboxed environments, with isolation between episodes, consistent state, snapshots and resets, and recovery from partial failures.
- Improve startup and teardown latency, scheduling, resource utilization, and throughput to make large-scale RL rollouts efficient and cost-effective.
- Build observability, debugging, and reproducibility tools. Diagnose resource contention, timeouts, and runtime failures, and distinguish infrastructure problems from agent behavior.
Requirements
- Strong full-stack engineering skills, with experience building applications across frontend interfaces, backend services, APIs, and data models.
- Experience with stateful backend or distributed systems, including databases, queues, caching, concurrency, consistency, and failure recovery.
- Strong algorithms and systems fundamentals. You can profile complex workloads, identify bottlenecks, and validate performance improvements without compromising correctness.
- Ability to design clear, reusable APIs and abstractions that make complex environments easy for researchers and engineers to integrate, extend, and operate.
- Careful debugging and testing habits, with attention to application fidelity, state transitions, reproducibility, and failures that can silently corrupt results.
- Creativity and ownership in ambiguous problems. You can turn real software behavior into working simulations, collaborate closely with researchers, and learn the agent and RL systems your environments support.
Bonus Qualifications
- Experience integrating environments with RL rollout systems, agent training pipelines, or evaluation harnesses.
- Experience with containers, virtual machines, sandbox runtimes, or orchestration systems for large-scale distributed workloads.
- Experience with browser automation, computer-use agents, simulation frameworks, or dynamic systems driven by events.
Compensation
The US base salary range for this full-time position is between $170,000 - $400,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.
About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
At Hark, you'll lead the development for the foundation of agentic reinforcement learning (RL) environments: the digital worlds in which AI agents learn to use software, navigate complex workflows, and act on their surroundings. Our ambition is to simulate the breadth and complexity of the internet, connecting websites, apps, services, and artifacts into rich, stateful environments, with the potential to evolve dynamically over time.
This is a chance to shape both the worlds agents learn in and the systems that make learning at scale possible. You'll build environments end-to-end and work closely with researchers to bring them into RL training and evaluation. You'll also develop the infrastructure behind our agent gym, making these environments easy to integrate, reproduce, and scale across heterogeneous execution targets.
Responsibilities
- Build agent environments and simulations end-to-end, including frontend interfaces, backend services, APIs, data models, tools, and realistic workflows used to train and evaluate AI agents.
- Build the infrastructure that powers our agent gym, including orchestration, sandboxing, packaging, benchmarking, and systems for running environments across heterogeneous targets.
- Create interconnected simulations with coherent behavior and shared state across websites, apps, and artifacts. Explore dynamic environments with changing content, background activity, and events over time.
- Partner with researchers to integrate environments into RL training and evaluation pipelines, building reusable agent interfaces, environment lifecycle APIs, and reliable collection of trajectories and artifacts.
- Build infrastructure that supports thousands of concurrent sandboxed environments, with isolation between episodes, consistent state, snapshots and resets, and recovery from partial failures.
- Improve startup and teardown latency, scheduling, resource utilization, and throughput to make large-scale RL rollouts efficient and cost-effective.
- Build observability, debugging, and reproducibility tools. Diagnose resource contention, timeouts, and runtime failures, and distinguish infrastructure problems from agent behavior.
Requirements
- Strong full-stack engineering skills, with experience building applications across frontend interfaces, backend services, APIs, and data models.
- Experience with stateful backend or distributed systems, including databases, queues, caching, concurrency, consistency, and failure recovery.
- Strong algorithms and systems fundamentals. You can profile complex workloads, identify bottlenecks, and validate performance improvements without compromising correctness.
- Ability to design clear, reusable APIs and abstractions that make complex environments easy for researchers and engineers to integrate, extend, and operate.
- Careful debugging and testing habits, with attention to application fidelity, state transitions, reproducibility, and failures that can silently corrupt results.
- Creativity and ownership in ambiguous problems. You can turn real software behavior into working simulations, collaborate closely with researchers, and learn the agent and RL systems your environments support.
Bonus Qualifications
- Experience integrating environments with RL rollout systems, agent training pipelines, or evaluation harnesses.
- Experience with containers, virtual machines, sandbox runtimes, or orchestration systems for large-scale distributed workloads.
- Experience with browser automation, computer-use agents, simulation frameworks, or dynamic systems driven by events.
Compensation
The US base salary range for this full-time position is between $170,000 - $400,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.
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Who's Hiring
Top Industries Hiring
- Education
- Sports & Recreation
- Manufacturing
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in director of digital operations jobs.
- 7 or more years of progressive experience in digital operations or related functions
- Demonstrated ability to lead cross-functional teams across product, engineering, and marketing
- Proficiency with enterprise project management and workflow automation platforms
- Experience defining and tracking KPIs across digital platforms and operational processes
- Bachelor's degree in business, information technology, digital media, or a related field
- Familiarity with agile methodologies and change management frameworks
Tips for Your Director of Digital Operations Job Search
Quantify operational scale on your resume
Directors of digital operations are hired to run complex systems, so your resume must show scope: how many platforms you managed, team sizes, and what efficiency or cost outcomes you drove. Vague leadership language won't move you past the screening stage.
Align your resume to the reporting line
Some director of digital operations roles report to the CTO, others to the CMO or COO. Read the org chart signals in each job description and adjust your resume's emphasis, whether that's technical infrastructure or revenue-driving digital channels, to match who you'd actually report to.
Apply early to roles that fit
Migrate Mate lists director of digital operations openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Build a portfolio of process improvements
Hiring panels for this role want evidence you've redesigned workflows or systems, not just maintained them. Document two or three concrete examples of digital operations you rebuilt, the problem you inherited, the solution you implemented, and the measurable result.
Prepare for the cross-functional leadership interview
Expect structured behavioral questions about managing disagreement between engineering, marketing, and product teams. Prepare specific stories where you arbitrated competing priorities and kept a digital initiative on track without formal authority over all the stakeholders involved.
Negotiate total compensation, not just base
At the director level, equity, annual performance bonuses, and technology or professional development budgets are often negotiable. Before your offer call, research the company's stage and funding to know which levers are realistic to push on and prepare a prioritized ask.
Director of Digital Operations Jobs: Frequently Asked Questions
Which companies are hiring the most director of digital operationss?
The most active employers for director of digital operationss right now are IQVIA, Seeking Health, and Grand Canyon University, and the most openings are in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in technology companies, healthcare systems, and large retail organizations undergoing digital transformation.
How many director of digital operations jobs are remote?
About 73% of director of digital operations openings are fully remote or hybrid as of November 2026, reflecting the role's heavy reliance on digital tools and distributed teams. Sub-areas focused on platform oversight, vendor management, and digital analytics tend to offer the most location flexibility, while roles tied to on-site production or physical operations are more likely to require a presence.
How do you become a director of digital operations?
Most people reach this role by progressing through digital project management, operations management, or a related function and gradually taking on broader cross-functional ownership. Building technical fluency with the platforms your organization relies on, earning a PMP or similar credential, and leading at least one major process redesign initiative are the clearest signals that you're ready to move into a director-level role.
Can you get hired as a director of digital operations without direct experience in the title?
Yes, candidates who have held senior manager or operations lead titles can transition into the director of digital operations role if their experience demonstrates end-to-end ownership of a digital system or program. The gap most hiring managers flag is lack of team leadership, so documenting situations where you managed people, vendors, or cross-functional workstreams directly is essential to making the case.
What does the director of digital operations interview process look like?
The process typically runs three to four rounds. An initial recruiter screen is followed by a hiring manager interview focused on leadership philosophy and functional experience. Later rounds often include a panel with peers from product, engineering, or marketing, and a final conversation with a senior executive. Some organizations add a case study or operational audit exercise where you assess a hypothetical process breakdown and present a remediation plan.
Where can I find and apply to director of digital operations jobs?
You can find and apply to director of digital operations jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your experience and target industry, and apply directly to each listing that fits your background.
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