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Offline Online Jobs (NOW HIRING)

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S. market via online and offline channels. Work Location Major cities in the US (New York City, Chicago, Las Vegas, Boston etc) but primarily focused in California (San Jose, Los Angeles etc ...

Senior Data Engineer

Redmond, WA ยท On-site

$118K - $161K/yr

Partner with PM and engineering to make data contracts, freshness, drift signals, and offline/online consistency first-class concerns. * Design and architecture: Lead design discussions for your ...

Run offline & online experiments (A/B and multivariate) to measure real-world outcomes such as engagement, match success rate, and conversation quality. * Collaborate cross-functionally with platform ...

Run offline & online experiments (A/B and multivariate) to measure real-world outcomes such as engagement, match success rate, and conversation quality. * Collaborate cross-functionally with platform ...

Offline Media Manager

New York, NY

$134K - $140K/yr

Own and scale CookUnity's offline media program across Linear TV, CTV, Online Video, Network Radio, Streaming Audio, and Podcasts, ensuring all efforts drive measurable brand lift and customer ...

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Offline Online information

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$11K

$80.1K

$138K

How much do offline online jobs pay per year?

As of Jun 13, 2026, the average yearly pay for offline online in the United States is $80,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $111,500.00 per year, depending on experience, location, and employer.

How do professionals in an Offline Online Coordinator role typically balance in-person and digital responsibilities to ensure seamless operations?

Professionals in an Offline Online Coordinator role are tasked with integrating both physical and digital workflows to support business objectives. This often involves coordinating in-person events or promotions while simultaneously managing online campaigns, requiring effective time management and strong communication skills. The role frequently collaborates with marketing, sales, and IT teams to align strategies and ensure consistent messaging across all channels. Successfully balancing these aspects demands adaptability, familiarity with digital tools, and the ability to troubleshoot challenges that arise in both offline and online environments.

What is the difference between Offline Online vs Customer Service Representative?

AspectOfflineOnline
Work EnvironmentPhysical locations, face-to-face interactionsDigital platforms, virtual interactions
Required CredentialsBasic communication skills, sometimes certifications in customer serviceSame as Offline, often with additional familiarity with online tools
Industry UsageRetail stores, call centers, in-person supportWebsites, social media, chat support

Offline and Online customer service roles share similar skills and credentials but differ mainly in work environment and interaction mode. Offline roles involve face-to-face contact in physical locations, while Online roles utilize digital platforms for virtual support. Both are essential in the customer service industry, catering to different customer preferences and business needs.

What are the key skills and qualifications needed to thrive as an Offline Online specialist, and why are they important?

To thrive as an Offline Online specialist (such as a digital marketing or hybrid event coordinator), you generally need expertise in both online and offline marketing strategies, supported by a relevant degree or experience in marketing or communications. Familiarity with marketing automation tools, CRM platforms, and event management software is typically required. Strong organizational skills, creativity, and effective communication help you connect audiences and manage multiple campaigns or events seamlessly. These combined skills ensure successful integration of digital and physical initiatives, maximizing outreach and engagement.

What are Offline Online jobs?

Offline Online jobs refer to positions that incorporate both in-person (offline) and virtual (online) work responsibilities. These roles may require employees to split their time between physical locations, such as offices or stores, and remote work using digital tools or platforms. Examples include hybrid customer service roles, sales positions, or educational jobs that blend face-to-face and online interactions. This approach offers flexibility and can help organizations reach a broader audience while maintaining personal connections. The exact nature of these jobs can vary widely depending on the industry and company.
More about Offline Online jobs
What cities are hiring for Offline Online jobs? Cities with the most Offline Online job openings:
What are the most commonly searched types of Offline jobs? The most popular types of Offline jobs are:
What states have the most Offline Online jobs? States with the most job openings for Offline Online jobs include:
Infographic showing various Offline Online job openings in the United States as of June 2026, with employment types broken down into 5% Locum Tenens, 1% As Needed, 2% Full Time, 88% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $80,123 per year, or $38.5 per hour.

AI Engineer - Agentic Systems

Prophecy Technologies

Hartford, CT โ€ข On-site

$57.50 - $76.50/hr

Full-time

Posted 22 days ago


Job description

Job Summary
We are seeking a highly skilled AI Engineer to design, build, and deploy agentic systems using Google Gemini ADK on GCP. The role involves implementing AI agent workflows for production use cases, integrating with developer ecosystems, monitoring runtime performance, and conducting offline/online evaluations to improve model quality. The ideal candidate will have hands-on experience with LLM/agentic applications, strong Python skills, GCP cloud services, observability tooling, and CI/CD processes.
Key Responsibilities
  • Design and build agentic systems using Google Gemini ADK (tool use, planning, memory, orchestration) and deploy them on GCP (Cloud Run, GKE, Vertex AI endpoints).
  • Monitor runtime performance of AI agents and related metrics.
  • Productionize agent workflows for SRE use cases including incident triage, log/trace summarization, anomaly detection, remediation suggestions, runbook generation, and post-incident reviews.
  • Integrate with developer ecosystem tools: GitHub, CI/CD pipelines, policy checks, secrets management, feature flags, and progressive delivery (canary/blue-green) for agent versions and prompts.
  • Evaluate and improve agent workflows through offline/online evaluations, driving model/agent quality and closing the loop with feedback from SREs.
  • Ensure MTTAs/MTTRs for critical incidents attributable to agent assistance are met.
  • Maintain observability coverage of agent tool calls with correlated trace spans and structured logs.

Required Skills & Experience
  • 1+ years building LLM / agentic applications with strong Python expertise.
  • Hands-on with Google Gemini (prompting, tool use, function calling, structured outputs) and ADK (planning, orchestration, memory).
  • GCP fluency: IAM, Cloud Run/GKE, Vertex AI, Cloud Storage, Cloud Logging/Monitoring, Secret Manager, Cloud Build, Cloud Deploy.
  • CI/CD & Infrastructure as Code: Terraform, Jenkins, AWS CodePipeline.
  • Experience with storage systems: AlloyDB, Spanner DB, Neo4j.
  • Observability expertise: OpenTelemetry (traces/metrics/logs), Dynatrace, Splunk.
  • Data & evaluation skills: dataset curation, prompt/version management, offline evaluations (accuracy, hallucination, safety), online metrics (latency, cost, win rate).

Competencies
  • Strong analytical and problem-solving skills.
  • Ability to work independently and manage priorities in complex environments.
  • Excellent communication and collaboration with cross-functional teams.
  • Ability to measure and optimize SLO compliance for agent endpoints and orchestrations.

Preferred / Desirable Skills
  • Experience with productionizing LLM agents for SRE workflows or similar use cases.
  • Knowledge of progressive delivery strategies (canary, blue-green).
  • Familiarity with advanced runtime observability and monitoring practices for AI systems.