Engineering Jobs in Austin Travis County Tx Remote

Web Platform Product Manager

Only USC and GC

Work from office - 2 days (Austin Texas)

Summary

We're transforming how customers discover and engage with our brand through innovative digital experiences. As a Web Platform Product Manager, you'll shape the future of our marketing web platform—the foundation that powers how prospects and customers find and learn about our solutions.

You'll share ownership of the vision and roadmap for our Adobe Experience Manager (AEM) platform capabilities, partnering with marketing, technology, design, and other cross-company teams to deliver scalable, enterprise-grade solutions. From defining platform strategy and governance to translating business needs into actionable requirements, you'll ensure our marketing websites are modern, performant, and ready to support the customer journey.

This role bridges business strategy and technical execution. You'll define what's possible, prioritize features that drive impact, and collaborate with engineering to bring solutions to life—while working closely with web production teams who enable your features through templates, training, and global rollout. If you're passionate about platform strategy, thrive in cross-functional environments, and want to shape exceptional digital experiences, this is your opportunity.

Major Areas of Accountability

Platform Strategy & Roadmap

• Define and execute the product vision and roadmap for AEM-based marketing web platform capabilities, aligned with business objectives and stakeholder needs
• Lead modernization initiatives to evolve platform capabilities and retire legacy experiences
• Balance long-term platform strategy with immediate business requirements and stakeholder requests

Product Development & Requirements

• Gather and translate business requirements from marketing users, customers, and internal stakeholders into detailed feature specifications and user stories
• Partner with commercial engineering teams to deliver new platform features, providing business context and success criteria
• Collaborate with UX designers to ensure features align with brand standards, compliance requirements and customer experience goals
• Work with web production specialists to ensure features are user-friendly for global content authors and include clear enablement materials

Platform Governance & Performance

• Own governance standards for the marketing web platform, ensuring consistency, stability, and compliance
• Drive platform performance initiatives including site speed, SEO optimization, and technical health
• Manage platform migrations, upgrades, and integrations with marketing systems and tools
• Ensure digital experiences meet accessibility standards (ADA, WCAG)

Stakeholder Collaboration & Guidance

• Serve as the primary contact for web platform capabilities, advising stakeholders on solutions within existing frameworks vs. new development needs
• Evaluate and triage feature requests, determining whether they can be solved through existing templates/components or require engineering investment
• Present roadmap updates and product plans to leadership and cross-functional teams
• Build strong partnerships across marketing, design, engineering, and production teams

Optimization & Continuous Improvement

• Use analytics to monitor platform performance and identify optimization opportunities
• Leverage data and user feedback to refine features and improve experiences
• Lead change management efforts as new capabilities roll out
• Identify and mitigate risks throughout the product lifecycle

Requirements

Knowledge & Skills

Platform & Business Acumen

• Working knowledge of Adobe Experience Manager (AEM) authoring, components, templates, and workflows—particularly AEM as a Cloud Service
• Understanding of Content Management Systems and how they enable marketing experiences
• Familiarity with marketing technology ecosystems and common integrations (analytics, personalization, CRM, marketing automation)
• Knowledge of web accessibility standards (ADA, WCAG) and SEO best practices
• Understanding of the "Find and Learn" phase of the customer lifecycle and how digital experiences support discovery and engagement

Product Management Expertise

• Ability to define product vision, strategy, and roadmaps that align with business goals
• Strong proficiency in Agile methodologies (Scrum), managing backlogs, sprints, and releases
• Expertise gathering business and marketing requirements and translating them into user stories and specifications
• Skilled at prioritizing features based on business impact, user needs, and resource constraints
• Experience managing the full product lifecycle from concept through launch and optimization
• Data-driven decision-making using analytics and performance metrics

Collaboration & Communication

• Exceptional communication skills—able to bridge business stakeholders and technical teams
• Strong stakeholder management, building alignment across diverse teams and leadership
• Proven ability to lead and influence without direct authority
• Skilled at presenting roadmaps and product updates to executives
• Collaborative approach that fosters inclusive, high-performing teams

Strategic Thinking & Problem-Solving

• Customer-centric mindset with empathy for both end users and internal content authors
• Strong analytical and problem-solving skills
• Ability to balance competing priorities and make decisions in ambiguous situations
• Comfortable working in complex, enterprise environments with multiple stakeholders
• Strategic vision with attention to execution detail

Personal Attributes

• Adaptable and resilient in fast-changing environments
• Strong organizational skills, managing multiple initiatives simultaneously
• Curious and committed to continuous learning
• Ownership mindset—takes accountability and drives results
• High emotional intelligence and ability to navigate complex dynamics

Education & Experience

• Bachelor's degree required
• 5+ years of product management experience, preferably in content management, digital platforms, or marketing technology
• 7+ years of overall professional experience
• Proven track record managing cross-functional product initiatives from concept to launch
• AEM, Scrum, or product management certifications preferred

Job Title: Site Reliability Engineer (SRE) – DataHub & GraphQL

Location: Austin, TX & Sunnyvale, CA '

Looking For Only Independent Visa

Role Overview

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in DataHub ingestion pipelines and GraphQL APIs. The ideal candidate will be responsible for designing, building, and maintaining scalable data ingestion frameworks, ensuring reliability and performance of enterprise data platforms, and enabling seamless integration with downstream applications. This role requires a balance of software engineering, systems reliability, and data platform knowledge.

Key Responsibilities

• Design, implement, and optimize DataHub ingestion pipelines for large-scale enterprise data systems.
• Develop and maintain GraphQL APIs to support data discovery, metadata management, and integration.
• Ensure high availability, scalability, and performance of data services across cloud and on-prem environments.
• Collaborate with data engineering, product, and infrastructure teams to deliver reliable data solutions.
• Automate monitoring, alerting, and incident response processes to improve system resilience.
• Drive best practices in observability, logging, and distributed system reliability.
• Troubleshoot complex production issues and implement long-term fixes.

Must-Have Skills

• 5+ years of experience as an SRE, DevOps Engineer, or Software Engineer with a focus on reliability and scalability.
• Strong hands-on experience with DataHub ingestion frameworks and metadata pipelines.
• Proficiency in GraphQL API design and implementation.
• Solid understanding of cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Expertise in monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.).
• Strong programming skills in Python, Java, or Go.
• Experience with CI/CD pipelines and infrastructure-as-code (Terraform, Ansible).

Good-to-Have Skills

• Familiarity with data governance and metadata management tools.
• Experience integrating with data platforms like Kafka, Spark, or Snowflake.
• Knowledge of REST APIs and microservices architecture.
• Exposure to security and compliance practices in data systems.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Proven track record of delivering reliable, scalable data infrastructure solutions.

Senior Product Manager, Insights & Advanced Analytics

Austin, TX (Hybrid) | Mobility Technology | People‑First Culture

Our client is transforming automotive retailers into the mobility networks of the future. Launched in 2016, they manage tens of thousands of vehicles for dealerships across North America and have been recognized by Built In as one of Austin’s Best Startups to Work For five years in a row. They operate with a people‑first culture, flexible scheduling, unlimited PTO, a strong DEI commitment, and accessible, supportive leadership.

They are hiring a Senior Product Manager, Insights & Advanced Analytics to build and scale their intelligence and analytics product line. This senior individual contributor role reports directly to the Chief Product Officer and sits at the intersection of data, economics, and product strategy.

What You’ll Own

• Intelligence & Analytics Product Strategy

Develop monetizable analytics products by transforming fleet data into decision‑grade insights embedded directly in the platform.

• Enterprise Reporting

Own and evolve the reporting roadmap across dealer groups and OEMs. Standardize metrics, reduce custom reporting, and ensure accuracy, consistency, and trust.

• Productized Decision Systems

Identify key economic decision points and build forward‑looking capabilities such as lifecycle optimization, utilization forecasting, pricing analysis, and revenue impact modeling.

• Monetization & Customer Value

Define packaging and pricing for advanced analytics. Validate demand early and directly link product decisions to measurable customer and company financial impact.

• Cross‑Functional Leadership

Partner with Data and Platform Engineering on data quality and model robustness, and with Sales and Customer teams to drive adoption and expansion.

What Success Looks Like

• Analytics becomes a meaningful and measurable revenue stream
• Reporting is standardized, trusted, and scalable across enterprise customers
• Predictive and AI‑driven intelligence is embedded in workflows and consistently used
• Customers experience documented gains in utilization, capital efficiency, and margin performance

About You

You think in systems and economic frameworks, not isolated features. You’re comfortable with complex data, probabilistic reasoning, and translating analytical outputs into clear, operational decisions. You bring commercial discipline, strong judgment, and a track record of building analytics products that change customer behavior and deliver financial results.

Required Qualifications

• 7+ years of Product Management experience with analytics, reporting, or intelligence products
• Experience owning a monetized data or analytics product with measurable revenue impact
• Background serving enterprise or OEM‑level customers
• Strong quantitative skills, including comfort with forecasting and economic trade‑offs
• Ability to interrogate data using SQL or comparable tools
• Proven ability to define economic success metrics and tie product direction to financial outcomes
• Experience developing pricing and packaging strategies for data‑driven products

Preferred Qualifications

• Advanced degree in a quantitative field
• Experience building predictive, optimization, or simulation systems
• Background monetizing analytics products in B2B environments
• Experience in mobility, asset‑heavy, or capital‑intensive industries

Benefits

• Competitive salary with bonus eligibility
• Medical, dental, vision, and disability coverage
• 401(k) with company match
• Unlimited PTO and flexible work
• LinkedIn Learning access and tuition reimbursement
• Paid parental leave
• Modern Austin office with free parking
• Supportive, people‑first workplace culture

Stelvio is partnering with a fast-growing software company in the 3D avatar and real-time character technology space.

This is a high-impact opportunity to join an early-stage, execution-driven team building next-generation tools that enable creators, studios, and AI developers to generate and dress digital characters at scale.

With a lean team and ambitious growth plans, they are seeking a Director of Execution to build the operational structure required to scale efficiently and responsibly.

The Role

Who you are

You are structured, decisive, and thrive in fast-paced environments. You understand 3D production pipelines and real-time character development workflows. You bring clarity to chaos and turn long-term product vision into clear daily execution.

You

You operate with complete situational awareness across engineering, design, and product initiatives. You are comfortable being the central coordination point for all operational flow. Nothing moves without your oversight — and that’s exactly how you prefer it.

The Role

As Director of Execution, you will serve as the operational integrator of the company. You will translate the CEO’s long-term vision into structured daily, weekly, and milestone-based execution across the team.

You will own the company-wide task orchestration system, maintain delivery cadence, and ensure alignment between roadmap milestones and daily output.

Responsibilities

• Meet daily with the CEO to align on product vision and priority decisions
• Translate long-term strategy into structured task flows for each team member
• Maintain defined deliverables, ownership, and accountability
• Oversee cross-functional delivery across engineering, art, and design pipelines
• Protect deep work by acting as the operational firewall for leadership
• Manage all incoming tasks, ideas, and blockers; integrate them into the execution system
• Maintain and own the master operational board and project tracking framework
• Identify process gaps and drive continuous operational improvement

Requirements

• Located within commuting distance of downtown Austin, Texas
• Hands-on execution experience within a 3D character development pipeline, real-time production environment, or video game workflow
• Strong understanding of character rigging and 3D asset pipelines
• Experience managing full asset lifecycle: concept → modeling → rigging → integration → iteration → release
• Exceptional communication and coordination skills
• Comfortable operating in a high-accountability, fast-moving startup environment
• Able to pass reference and background checks

Benefits

• Competitive compensation with performance-based upside
• Benefits and stock options available
• Direct ownership and visible impact in a scaling company
• High-performance team culture with strong execution focus

Reverie Hospitality

Location: Austin, TX / Texas Hill Country (Remote with regular travel to properties within ~1.5 hours of Austin; typically 1 day/week on-site or less, plus additional days for shoots or key launches)

Employment Type: Full-Time, Flexible Hours

Compensation: Total compensation: $80,000 - $100,000+. Base Salary $70,000–$90,000 + ~$10,000+ Annual Performance Bonus (tied to portfolio revenue goals and performance)

About Reverie Hospitality

Reverie Hospitality is a boutique hospitality company managing premier private retreat resorts and event venue properties across Texas Hill Country. Our portfolio includes luxury retreats, wedding weekend destinations, and vineyard resort experiences designed to deliver exceptional guest experiences. We blend thoughtful design with high-level service to create unforgettable stays, and we are building a repeatable, measurable growth engine to scale our portfolio in the coming years.

About the Role

We are hiring a Marketing Director - Operations & Growth Leader to run the marketing execution engine for our portfolio of currently 6 boutique hospitality properties. This is a hands-on operator role. Your responsibility is to take a defined 2026 marketing strategy and turn it into a functioning system: campaigns launched, landing pages live, CRM automations running, creative produced, reporting clean, and qualified leads flowing consistently to sales.

You will report directly to one of the founders/owners. Organic social and execution workflows should run without daily supervision. You will be the final editor and quality control for brand output.

Key Responsibilities

Marketing Operations & Team Management

• Own day-to-day marketing execution across our portfolio of 6 boutique hospitality companies.
• Manage remote virtual assistants (VAs), contractors, and creative vendors with clear SOPs and quality control.
• Run weekly marketing scorecard meetings covering performance, bottlenecks, and next actions.

Paid Growth Ads (Meta + Google)

• Rebuild and manage campaign structure by property and segment.
• Present organized ad batches for approval and launch.
• Manage agency relationships (if applicable) with the goal of bringing best practices of paid ads in-house.
• Maintain always-on retargeting and disciplined prospecting.

Creative Production

• Plan and produce roughly quarterly photo/video shoots
• Build reusable asset library for ads, landing pages, and lifecycle campaigns.
• Maintain and expand creative vendor relationships.

Social Media & Other Marketing Channels

• Oversee and execute social media management and influencer campaigns
• Manage Google Business with regular posts, review responses, Q&A updates, etc.
• Audit/improve property listings on OTAs, wedding/event platforms, etc.
• Execute PR / media outreach and placement coordination
• Oversee email/text marketing campaigns for Reverie and each property

CRM & Lifecycle

Oversee our web developer VA and marketing VAs to:

• Implement and manage CRM as the group sales CRM.
• Build segment-based pipelines (wedding, corporate, wellness).
• Implement Fit Form qualification before calendar booking.
• Build email + SMS automation (instant response, 14-day nurture, long nurture foundations).

Website & Conversion

Oversee our web developer VA to:

• Provide guidance on website enhancements and SEO management
• Build and optimize segment-specific landing pages per property.
• Own ad → landing page → qualification → booking conversion flow.

Tracking & Reporting

Oversee our web developer VA and marketing VAs to:

• Enforce UTM standards and coordinate GA4/GTM tracking.
• Ensure Meta Pixel + Conversions API and Google Ads tracking are accurate.
• Deliver weekly KPI scorecard (marketing, sales funnel, revenue metrics).

First 90 Days

1. First 30 Days:

• CRM buildout + Fit Form live.
• Tracking baseline verified (UTMs, GA4, pixel/CAPI).
• Priority landing pages published.

2. Days 31–60:

• Paid campaigns refreshed and segmented.
• Email/SMS nurture sequences active.
• Weekly KPI reporting cadence established.

3. Days 61–90:

• Creative library organized and mapped to campaigns.
• Offline conversion tracking plan implemented.
• Vine launch marketing cadence prepared and scheduled.

Qualifications

• 7+ years in marketing operations, growth, or performance marketing.
• Strong CRM + automation experience (GoHighLevel preferred).
• Experience managing Meta + Google campaigns directly or via agency.
• Lead social media strategy and influencer program
• Comfortable with tracking (UTMs, GA4, GTM, pixel/CAPI).
• Strong project management and vendor coordination skills.
• Attention to detail and keen eye for branding/design, preferably in the hospitality industry.
• Local to Austin / Hill Country with ability to be on-site regularly.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
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