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Remote Coca Cola Data Entry Jobs in Colorado (NOW HIRING)

ERM

Right of Way (ROW) Agents (Field Based)

Pueblo, CO · On-site +1

$94K/yr

Draft and/or supervise the preparation of documents for rights of entry, damage claims, contracts ... Ability to work in remote locations for long periods of time. * Excellent interpersonal skills and ...

ERM

Right of Way (ROW) Agents (Field Based)

Denver, CO · On-site +1

$94K/yr

Draft and/or supervise the preparation of documents for rights of entry, damage claims, contracts ... Ability to work in remote locations for long periods of time. * Excellent interpersonal skills and ...

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Remote Coca Cola Data Entry information

What is a remote Coca Cola data entry job?

Remote Coca Cola Data Entry jobs involve inputting, updating, and maintaining data related to Coca Cola’s business operations from a remote location, usually from home. Tasks may include entering sales figures, updating inventory records, and ensuring the accuracy of information in company databases. These positions typically require basic computer skills, attention to detail, and the ability to work independently. Employees communicate with supervisors and team members online and follow company protocols for handling sensitive data. Working remotely allows for flexible hours but still requires meeting productivity and quality standards.

Are remote Coca Cola data entry jobs real?

Remote Coca Cola data entry jobs are legitimate positions that involve inputting and managing data for the company remotely. These roles typically require attention to detail, familiarity with data management tools, and sometimes basic knowledge of spreadsheets or databases. Job seekers should verify listings through official company channels or reputable job platforms to avoid scams.

What are the key skills and qualifications needed to thrive as a remote Coca Cola data entry specialist?

To thrive as a Remote Coca Cola Data Entry specialist, you need strong typing skills, attention to detail, and a high school diploma or equivalent. Familiarity with data entry software, Microsoft Excel, and Coca Cola's proprietary systems is typically required. Excellent time management, self-motivation, and clear communication help individuals excel in a remote environment. These skills ensure accurate and timely data management, supporting business operations and decision-making.

What are some common challenges faced in a remote Coca Cola data entry role, and how can they be managed?

Working remotely as a data entry specialist for Coca Cola can present challenges such as maintaining focus in a home environment, meeting tight deadlines, and ensuring high accuracy with large volumes of data. Staying organized with to-do lists, setting up a dedicated workspace, and using productivity tools can help manage these challenges effectively. Additionally, regular communication with supervisors and team members through virtual meetings ensures that any questions or issues are addressed promptly, helping maintain workflow and data integrity.
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Remote Coca Cola Data Entry jobs near you

Solution Architect - Applied AI Practice (Pre-Sales) (Remote)

Bryant Park Consulting

Denver, CO • Remote

$200K - $250K/yr

Full-time

Posted 22 days ago

Job description

About the role:

Bryant Park Consulting is building an Applied AI practice - an AI delivery arm that designs, builds, and operates AI agents inside client systems. We are looking for a Solution Architect to own the sales cycle end-to-end: sourcing and developing opportunities, leading discovery, scoping and sizing engagements, and translating operational pain points into credible agent architectures. You will be the technical expert and trusted advisor from first conversation through close - whether the entry point is a demo, a workshop, an assessment, or a scoped build. This role reports to the VP of Sales, with a dotted line to the Applied AI Practice Lead, and, as a pivotal driver of practice growth, carries sales and bookings targets and incentives.

Responsibilities:

  • Source and develop opportunities - within existing BPC accounts, through partner channels, and via your own network - and lead the sales cycle end to end, from first conversation through signed engagement.
  • Build and maintain relationships with referral channels: Anthropic and other AI vendor sales teams, centers of influence, and partner firms that refer new business to the practice.
  • Lead technical discovery sessions with prospective clients to map their systems, data, and operational workflows to agent automation opportunities.
  • Deliver the right pre-sales motion for each opportunity - demos from our pre-built agent fleet, workshops, technical deep dives, or proof-of-value scoping - matched to the client's vertical and buying stage.
  • Scope and size engagements: map candidate agent initiatives to complexity bands, estimate work units, and recommend the right engagement structure and retainer tier.
  • Design high-level agent architectures and solution blueprints - agent design, MCP connector approach, system integration points, security and access model, and observability.
  • Collaborate with sales and Global Solution Architects to qualify opportunities and respond to RFPs.
  • Draft proposals and statements of work - pricing, effort estimates, timeline, and phasing - then present to client stakeholders and negotiate scope, pricing, and redlines through to signature.
  • Translate technical concepts - agents, MCP, model selection, token economics - into language that resonates with CFOs, CTOs, and operations leaders.
  • Handle technical objections credibly: build-vs-buy, security and data access, infrastructure and model-choice concerns, and how production agents differ from the AI tools clients already use.
  • On close, carry the vision into delivery: mobilize the assigned team to deliver what was positioned and sold, and stay engaged as engagement sponsor.
  • Develop long-lasting client relationships as a trusted advisor, positioning follow-on services as the account grows.
  • Contribute to demo assets, sales collateral, and reusable solution patterns as the practice's IP library grows.
  • Stay current on the AI agent landscape - models, agent frameworks, MCP ecosystem, and enterprise AI governance trends.

Qualifications:

  • Bachelor's or advanced degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • 4-7 years in a pre-sales, solution architecture, or technical consulting role with enterprise clients.
  • Hands-on experience with LLM-based applications: model APIs (Anthropic, OpenAI, or similar), agent frameworks, prompt and context engineering, and tool/function calling.
  • Strong understanding of enterprise integration - APIs, middleware/iPaaS, event-driven patterns - and how AI agents connect to systems of record.
  • Experience with enterprise business systems across ERP (SAP, Oracle, Microsoft Dynamics, NetSuite), CRM, ITSM (ServiceNow), supply chain/WMS, or data platforms (Snowflake, Databricks).
  • Proven ability to scope and estimate technical work and defend the estimate with clients.
  • Excellent communication and presentation skills with both technical and executive audiences.
  • Comfortable operating in an early-stage practice: ambiguity, speed, and building the playbook as you run it.

Bonus Points:

  • Experience with Model Context Protocol (MCP) or building production agent/connector integrations.
  • Background in the NetSuite ecosystem or ERP consulting.
  • Experience in a delivery role (you've built what you sell) or a quota-carrying pre-sales role.
  • Familiarity with AI governance, security review processes, and enterprise observability tooling.
  • Vertical depth in manufacturing, distribution, consumer goods, or food & beverage.
Salary Range: $200,000 to $250,000

In accordance with the Colorado Equal Pay for Equal Work Act, the approximate annual base compensation range is listed above. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.

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