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Remote Product Optimization Jobs in Indiana (NOW HIRING)

Deloitte

Sr Manager, Lead Delivery Leader

Indianapolis, IN · Remote

$120K - $159K/yr

Driving modernization, process optimization, and product performance improvements across Core Tax ... EA_ExpHire PXE_JOBS #LI-Remote Qualifications: Deloitte is seeking a Senior Manager, Product ...

IvyPanda

PPC specialist (remote)

Gary, IN · Remote

... productivity * Regularly create Google AdWords and Analytics reports Qualifications * Experience with optimization, management, and creation of PPC campaigns * Ability to interpret and effectively ...

IvyPanda

PPC specialist (remote)

Gary, IN · On-site +1

... productivity * Regularly create Google AdWords and Analytics reports Qualifications * Experience with optimization, management, and creation of PPC campaigns * Ability to interpret and effectively ...

Bisnow

Commercial Mortgage Broker

Indianapolis, IN · Remote

$120K - $300K/yr

Commercial Mortgage Broker (Fully Remote) Compensation: 100% Commission | Independent Contractor ... Source and negotiate optimal debt and equity solutions across a wide range of capital products

Eliassen Group

Full Stack Engineer

Indianapolis, IN · Remote

Remote Reference ID: JN -042026-106484 Date Posted: 05/20/2026 Shortcut: * Description ... You will collaborate with product, design, and external teams, tackle technical challenges, and use ...

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Remote Product Optimization information

What is the difference between Remote Product Optimization vs Remote Data Analyst?

AspectRemote Product OptimizationRemote Data Analyst
Primary FocusImproving product performance and user experienceAnalyzing data to support business decisions
Skills & CertificationsProduct management, UX, analytics toolsData analysis, SQL, statistical skills
Work EnvironmentCollaborates with product teams, designers, developersWorks with datasets, reporting tools, dashboards
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare sectors

Remote Product Optimization focuses on enhancing product features and user experience, while Remote Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their core objectives and daily tasks.

What is a Remote Product Optimization specialist?

A Remote Product Optimization specialist is a professional who analyzes and improves products or services for a company while working from a remote location. Their main goal is to enhance product performance, usability, and customer satisfaction by using data analysis, user feedback, and market research. They collaborate with cross-functional teams such as product managers, designers, and engineers to implement changes that drive business growth. This role often requires strong analytical skills, communication abilities, and familiarity with digital tools for remote collaboration.

What are the key skills and qualifications needed to thrive as a Remote Product Optimization Specialist, and why are they important?

To thrive as a Remote Product Optimization Specialist, you need strong analytical skills, experience in data-driven decision-making, and a background in marketing, business, or a related field. Familiarity with A/B testing tools, web analytics platforms like Google Analytics, and conversion rate optimization (CRO) software is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and driving project outcomes. These skills ensure effective product improvements, data-informed strategies, and successful optimization in a remote work environment.

What are the typical collaboration methods for a Remote Product Optimization professional working with cross-functional teams?

Remote Product Optimization professionals frequently collaborate with product managers, designers, engineers, and data analysts using virtual communication tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins, virtual brainstorming sessions, and asynchronous updates are common to ensure alignment and progress toward optimization goals. Building strong communication habits and clear documentation is crucial for remote roles, as it helps bridge the gap created by physical distance and ensures that all stakeholders remain informed and engaged throughout product improvement cycles.
What are popular job titles related to Remote Product Optimization jobs in Indiana? For Remote Product Optimization jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Product Optimization jobs in Indiana look for? The top searched job categories for Remote Product Optimization jobs in Indiana are:
What cities in Indiana are hiring for Remote Product Optimization jobs? Cities in Indiana with the most Remote Product Optimization job openings:
Remote Product Optimization jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Fort Wayne, IN • Remote

Other

Posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply