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Remote Product Distribution Jobs in Texas (NOW HIRING)

Esprow

USA (Remote) Position Description: We are looking for a talented Technical Pre-Sales & Product ... distributed systems. - Strong technical aptitude with the ability to learn and understand ...

Avery Dennison

Seasonal Trend Product Designer

Dallas, TX · On-site +1

$81K - $121K/yr

Remote in the United States (unless located within 40 miles of an Avery Dennison Apparel hub in ... Validate back-end support for global launch, including sample distribution, product photography ...

TTEC Digital

Architect, Product Development

Austin, TX · Remote

$160K - $170K/yr

... distributed systems. * Experience creating and presenting architecture diagrams and technical ... LI-Remote This position is eligible to participate in an annual incentive program. Actual ...

RealPage, Inc.

Senior Product Manager

Richardson, TX · Remote

$120K - $159K/yr

... distribution. * Analyze, triage and troubleshoot product issues impacting internal and external ... Performance-based bonus based on position. #LI-AS2 #LI-REMOTE Compensation may vary depending on ...

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Showing results 21-40

All JobsProduct Distribution JobsRemote Product Distribution JobsRemote Product Distribution Jobs in Texas

Remote Product Distribution information

What is the difference between Remote Product Distribution vs Remote Supply Chain Coordinator?

AspectRemote Product DistributionRemote Supply Chain Coordinator
CredentialsLogistics, Business, or Supply Chain certifications often preferredSupply Chain, Logistics, or Business certifications common
Work EnvironmentRemote, often involving coordination with warehouses, vendors, and customersRemote, focusing on overseeing supply chain processes and logistics
Industry UsageRetail, E-commerce, ManufacturingManufacturing, Retail, Logistics
Search & Comparison IntentUnderstanding distribution roles, logistics coordinationSupply chain management, logistics planning

Remote Product Distribution involves managing the movement of products from warehouses to customers, focusing on logistics and delivery. Remote Supply Chain Coordinator oversees the entire supply chain process, including procurement, inventory, and logistics. While both roles require supply chain knowledge and remote work skills, distribution is more focused on delivery, whereas supply chain coordination covers broader planning and management.

What are the most commonly searched types of Product Distribution jobs in Texas?

The most popular types of Product Distribution jobs in Texas are:

What are popular job titles related to Remote Product Distribution jobs in Texas?

For Remote Product Distribution jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Product Distribution jobs in Texas look for?

The top searched job categories for Remote Product Distribution jobs in Texas are:

What cities in Texas are hiring for Remote Product Distribution jobs?

Cities in Texas with the most Remote Product Distribution job openings:

Remote Product Distribution jobs near you
Infographic showing various Remote Product Distribution job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform

Austin, TX • On-site, Remote

Virtasant
IT Services • 1 - 5K employees
Learn more about Virtasantexternal

Full-time

Re-posted 26 days ago

Job description

Staff Backend / Product Engineer - FinOps & AI Cost Intelligence Platform
(AI Platform)
Location: Remote
Type: Full-time
Team: Cost Optimisation (CO) - Product Engineering
Reports to: Director of Engineering
About Virtasant
Virtasant is a global technology services company that delivers outcomes through automation. Our services include software engineering, technology operations, cloud migration, application modernization, and cloud optimization.
We help some of the world's largest organizations modernize their technology operations, optimize costs, and unlock new opportunities for innovation. Our fully remote, globally distributed team is passionate about delivering world-class technology solutions while embracing a culture of excellence, ownership, and impact.
The Role
We're looking for a Staff-level, backend-first Product Engineer to help evolve our multi-cloud FinOps platform into a broader cloud and AI cost intelligence platform. The role will focus on distributed data systems, reliable processing of cloud billing and usage data, platform architecture, and extending AI cost visibility from aggregate spend toward application, workflow and request-level attribution.
You'll operate with high autonomy, significant ownership, and direct access to product leadership. Think founding engineer energy, without the chaos.
You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
What You'll Be Doing
  • Design and build backend-heavy platform features for our platform.
  • Productionalise AI-enabled capabilities (e.g. anomaly detection, recommendations, agent-based workflows).
  • Implement AI thoughtfully across the entire SDLC - prototyping, testing, iteration, and deployment.
  • Design and build distributed data pipelines that process cloud billing, usage, and AI telemetry.
  • Build reliable systems that handle backfills, late-arriving data, and historical reprocessing.
  • Design scalable data models and APIs that power customer-facing analytics and AI cost insights.
  • Collaborate closely with Product to turn vision into shipped features.
  • Identify blockers early, communicate clearly, and iterate fast.
  • Help shape engineering standards and patterns as the product matures.
  • You will help define how AI capabilities move from experimentation to durable product features, with an emphasis on reliability, cost efficiency, and clear user value - not just model novelty.
  • Build AI features with explicit evaluation criteria, feedback loops, and guardrails (accuracy, latency, cost, and explainability) so models improve predictably over time.

Success in the first 6-12 months looks like:
  • 2+ production-ready features shipped.
  • Tangible progress towards operating as a smart intelligence platform.
  • Clear, repeatable engineering patterns for AI-enabled development.
  • Utilize lightweight but rigorous AI engineering practices (evaluation harnesses, rollout strategies, and rollback mechanisms) that allow the platform to scale AI features safely and repeatedly.

What We're Looking For (Non-Negotiables)
  • 8+ years of professional software engineering experience, with deep backend expertise in Python (Java or C++ as secondary languages).
  • Experience building and operating data-intensive backend systems or pipelines in production.
  • Strong understanding of data modelling, reliability, and data processing.
  • Ability to design scalable systems and take them from concept through production.
  • Experience with AI driven development to accelerate and drive product development.
  • Hands-on experience building on AWS.
  • Demonstrated experience using AI in real production systems (not just experimentation - clear, repeatable patterns).
  • Comfortable working in ambiguity with product-led direction.
  • Ability to architect backend services that support asynchronous workflows, event-driven pipelines, and AI agents that operate over time rather than single request/response cycles.
  • Comfort articulating why certain AI approaches were not used, including trade-offs around latency, explainability, data availability, or long-term maintainability.

What Matters More Than Checklists
We care deeply about how you think and build, not just what tools you've used.
We're looking for engineers who can:
  • Tell a compelling story about a product journey, not just features shipped
  • Explain why decisions were made and what trade-offs were considered
  • Fail fast, learn quickly, and iterate relentlessly
  • Clearly articulate technical roadblocks and collaborate on solutions
  • Thrive in a fast-paced, high-ownership environment

Why This Role Stands Out
  • You'll work on a real AI product, not internal tooling or demos.
  • Near-founding-engineer level autonomy and influence.
  • Direct impact on product direction and commercial outcomes.
  • Opportunity to help shape a platform with standalone, licensable AI capabilities.
  • A rare chance to build product inside a consultancy without being consumed by client work.
  • You'll build AI capabilities informed by real enterprise-scale cost and usage data, enabling smarter models and workflows than greenfield or synthetic-data products.

Why Virtasant
  • High ownership, high trust environment.
  • Opportunity to own and shape technical delivery at scale.
  • Work closely with experienced engineering and delivery teams.
  • Exposure to broader cloud optimisation and consulting initiatives over time.

Our team Optimization Locations HQ Remote status Fully Remote

Apply