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Vector Remote Jobs in Oklahoma (NOW HIRING)

Cloudbeds

$140K - $180K/yr

Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation ... working with remote-first, globally distributed teams * Experience with API-driven design ...

Human Agency

Location: Remote (U.S. or Canada) Type: US Applicants - Full-Time; Canadian Applicants ... You'll build and run red team exercises against our AI systems, model attack vectors that don't yet ...

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Vector Remote information

What is a Vector Remote?

Vector Remote jobs refer to employment opportunities offered by Vector Marketing that allow representatives to work remotely, typically selling CUTCO® products from home or any location with internet access. These positions often involve conducting virtual demonstrations, managing customer relationships online, and setting appointments through digital platforms. Remote roles offer flexible scheduling, making them attractive to students and those seeking supplemental income. Training and support are usually provided virtually, ensuring remote reps have the resources needed to succeed. This setup allows individuals to gain sales and communication experience without needing to work in a traditional office environment.

What skills and qualifications are needed to thrive as a Vector Remote?

To thrive as a Vector Remote Sales Representative, you need strong sales acumen, effective communication skills, and a high school diploma or equivalent. Familiarity with CRM software, virtual meeting platforms, and online order processing systems is typically required. Exceptional interpersonal skills, self-motivation, and resilience help individuals stand out in this role. These skills are crucial for building client relationships, meeting sales targets, and succeeding in a remote work environment.

What are some unique challenges faced when working as a remote sales representative for Vector Marketing?

As a remote sales representative for Vector Marketing, one of the main challenges is maintaining self-motivation and discipline, since you are often managing your own schedule without direct in-person supervision. Additionally, building rapport with customers virtually requires strong communication skills and adaptability to different digital platforms. You may also need to proactively seek feedback and support from your team, as remote work can sometimes feel isolating. However, the company offers regular virtual meetings, training, and resources to help you stay connected and succeed in your sales goals.

What is the difference between Vector Remote vs Data Analyst?

AspectVector RemoteData Analyst
Required CredentialsBachelor's degree in relevant field, technical skills in data toolsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentRemote, flexible hours, tech-focusedTypically office-based or remote, analytical and reporting tasks
Employer & Industry UsageTech companies, startups, remote-first organizationsBusiness, finance, healthcare, and various industries
Search & Comparison IntentRemote data roles, tech jobs, data-focused positionsData analysis careers, analytics roles, data reporting jobs

Vector Remote and Data Analyst roles often require similar technical skills and educational backgrounds. While Vector Remote emphasizes remote work environments and tech industry usage, Data Analysts are found across multiple industries with both remote and on-site options. Understanding these differences helps job seekers target the right roles based on work setting and industry focus.

Is a vector a remote job?

A vector is not a job but a term used in various fields such as mathematics, biology, and computer graphics. If referring to a specific job role, many remote positions exist that require skills like programming, design, or data analysis, which can often be performed from anywhere with internet access.
Vector Remote jobs near you
Infographic showing various Vector Remote job openings in Oklahoma as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution.

Senior Software Engineer

Cloudbeds

Remote

$140K - $180K/yr

Full-time

Posted 21 days ago

Job description

How You'll Make an Impact:

As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds. This is a product engineering role focused on production AI systems, agentic workflows, evaluation, and observability - not an internal tooling role. You'll work primarily in Python while collaborating across our broader PHP and Java ecosystem, building systems where correctness, reliability, latency, cost, and model quality are core to the job. Your goal is to help Cloudbeds ship AI-powered customer experiences that are useful, trusted, scalable, and measurable.

Our Core AI Squad:

The Core AI Squad owns the customer-facing AI platform infrastructure, agentic workflows, and evaluation and observability foundations that enable AI-powered experiences across Cloudbeds products. The team builds the production capabilities that let us evaluate models and providers for specific use cases, orchestrate tools and workflows, measure quality over time, and integrate AI safely into real customer journeys. You'll join a senior, product-minded group that values ownership, pragmatic architecture, fast learning, and strong collaboration across product, design, data, and engineering.

What You Bring to the Team:

  • Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed
  • Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
  • Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
  • Evaluate models and providers for specific product use cases, using clear success criteria and abstractions that keep the platform flexible as the AI ecosystem evolves
  • Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time
  • Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
  • Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI product opportunities into reliable customer-facing features
  • Comfort building, debugging, and operating services that interact with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning
  • Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship

What Sets You Up for Success:

  • 5+ years of software engineering experience building, shipping, and operating production systems
  • Strong proficiency with Python in production environments, including APIs, services, tests, debugging, and operational ownership
  • Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows
  • Experience with agentic frameworks and tooling such as LangChain, LangSmith, LangGraph, or similar platforms (PydanticAI, CrewAI, etc) 
  • Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
  • Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services when the product requires it
  • Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
  • Experience with cloud infrastructure and containerization such as Docker, Kubernetes, and AWS, plus experience working with remote-first, globally distributed teams
  • Experience with API-driven design, distributed systems, data modeling, and reliable service boundaries
  • Strong knowledge of software best practices, design patterns, performance, security-minded development, and testing across unit, integration, and end-to-end levels
  • Excellent problem-solving and debugging skills, especially in complex systems with uncertain or probabilistic behavior
  • Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
  • Business-level English fluency, verbal and written

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $140,000 and $180,000 USD. Please note that we maintain high flexibility, and packages above this range will be considered.  (The salary is only for US-based candidates).

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