ZipRecruiter

Log In

1

Pod Assistant Jobs in Utah (NOW HIRING)

Mortenson

Assistant Superintendent

Salt Lake City, UT · On-site

$95K - $129K/yr

SUMMARY Mortenson is currently seeking an experienced Assistant Superintendent responsible for ... Manage scope(s) of work Plan of Day (POD) activities * Support Safety Manager and/or Engineer with ...

Mortenson

Assistant Superintendent

Salt Lake City, UT · On-site

$95K - $129K/yr

SUMMARY Mortenson is currently seeking an experienced Assistant Superintendent responsible for ... Manage scope(s) of work Plan of Day (POD) activities * Support Safety Manager and/or Engineer with ...

Ancestry

Research Manager - Southern US

Lehi, UT · On-site +1

They assist team members in developing their skills and consistently meet performance metrics ... Conduct regular meetings with pod members and be available for consults. Who you are... * You have ...

Ancestry

Research Manager - Southern US

Lehi, UT · On-site +1

They assist team members in developing their skills and consistently meet performance metrics ... Conduct regular meetings with pod members and be available for consults. Who you are... * You have ...

All JobsPod Assistant JobsPod Assistant Jobs in Utah

Pod Assistant information

What does a podiatrist make per hour?

A podiatrist typically earns between $50 and $100 per hour, depending on experience, location, and work setting. They often work in clinics, hospitals, or private practices and may need specialized certifications to practice independently.

What is a pod assistant?

A pod assistant is a support role that involves managing and maintaining podcast recordings, editing audio files, and assisting with production tasks. The job often requires familiarity with audio editing software and good organizational skills to ensure smooth podcast creation and distribution.

How long does it take to become a podiatrist assistant?

Becoming a podiatrist assistant typically requires completing a post-secondary education program, such as a certificate or diploma in medical assisting or a related field, which can take from several months up to a year. Some positions may also require on-the-job training or certification in basic medical procedures, but the role generally does not require extensive formal education like a degree in podiatry.

What job makes $10,000 a month without a degree?

A Pod Assistant role typically does not pay $10,000 a month without significant experience or specialized skills. High earnings in such roles are uncommon; most well-paying jobs that reach this level usually require advanced skills, certifications, or entrepreneurial success rather than entry-level positions. Generally, achieving this income level without a degree involves entrepreneurship, sales, or specialized trades.

What is the difference between Pod Assistant vs Audiology Assistant?

AspectPod AssistantAudiology Assistant
Required CredentialsHigh school diploma or equivalent; on-the-job trainingAssociate's degree or certification in audiology assisting
Work EnvironmentMedical clinics, hospitals, ENT officesAudiology clinics, hospitals, ENT offices
Job ResponsibilitiesAssist with podiatric procedures, patient prep, equipment setupAssist audiologists with hearing tests, equipment, patient care

While both roles support healthcare providers, a Pod Assistant primarily assists podiatrists with foot care procedures, whereas an Audiology Assistant supports audiologists with hearing assessments. The roles differ mainly in their specialized training and the specific healthcare setting, but both involve patient interaction and clinical support tasks.

How does a Pod Assistant typically support team collaboration and workflow efficiency?

As a Pod Assistant, you'll play a key role in maintaining smooth communication and coordination within a designated team or 'pod.' Your responsibilities often include scheduling meetings, organizing shared resources, tracking project progress, and ensuring information flows seamlessly among team members. You'll often serve as the first point of contact for queries, helping to resolve minor issues quickly and escalating larger concerns to the appropriate leads. This role requires strong organizational skills and a proactive attitude to help the team meet its goals efficiently.

What are Pod Assistants?

Pod Assistants are support professionals who work within a 'pod,' or small team, to assist with various administrative, operational, or customer service tasks. Their responsibilities often include scheduling, coordinating communications, managing files or data, and supporting team members to ensure smooth workflow. Pod Assistants are commonly found in workplaces that use a pod-based or team-based structure, such as tech companies, healthcare settings, or customer service departments. They play an important role in helping teams stay organized and efficient.

What are the key skills and qualifications needed to thrive as a Pod Assistant, and why are they important?

To thrive as a Pod Assistant, you should have strong organizational skills, attention to detail, and the ability to multitask, often complemented by a high school diploma or equivalent. Familiarity with scheduling software, office productivity tools, and communication systems is typically required. Excellent interpersonal skills, adaptability, and a proactive attitude help you excel in supporting team operations and responding to dynamic needs. These abilities are important for maintaining smooth workflows, ensuring accurate administration, and enhancing team productivity.
What are popular job titles related to Pod Assistant jobs in Utah? For Pod Assistant jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Pod Assistant jobs in Utah look for? The top searched job categories for Pod Assistant jobs in Utah are:
What cities in Utah are hiring for Pod Assistant jobs? Cities in Utah with the most Pod Assistant job openings:
Pod Assistant jobs near you
Lead Forward Deployed Engineer - Snowflake

Lead Forward Deployed Engineer - Snowflake

Deloitte

Salt Lake City, UT • On-site

$99K - $130K/yr

Other

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/12/2026.

Work you'll do

As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

  • Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  • Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
  • Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
  • Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

  • Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
  • Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
  • Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
  • Mentor and develop junior FDEs

GenAI Solution Development

  • Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
  • Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
  • Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
  • Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

  • Review and contribute to production-quality code
  • Guide architecture of data pipelines powering GenAI use cases
  • Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
  • Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,000 - $307,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/12/2026.

Work you'll do

As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.

Client Engagement

  • Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
  • Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling
  • Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
  • Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.

Cross-Functional Pod Leadership & Program Governance

  • Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health
  • Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
  • Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
  • Mentor and develop junior FDEs

GenAI Solution Development

  • Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
  • Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls
  • Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.
  • Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.

Engineering & Data Foundations

  • Review and contribute to production-quality code
  • Guide architecture of data pipelines powering GenAI use cases
  • Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices
  • Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 7+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167,000 - $307,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply