ZipRecruiter

Log In

1

Concentrix Engineering Jobs (NOW HIRING)

Cnx

Marketing Director - AI Products

Concord, NC · On-site

Marketing Director - AI Products We're Concentrix. The global technology and services leader that ... Partner with Product and Engineering to improve onboarding, usage and self-serve experiences.

next page

Showing results 1-20

All JobsConcentrix Engineering Jobs

Concentrix Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do concentrix engineering jobs pay per year?

As of Jun 18, 2026, the average yearly pay for concentrix engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Concentrix?

Getting hired at Concentrix for engineering roles can vary depending on the position and applicant experience. The company typically looks for relevant technical skills, problem-solving ability, and good communication, with the hiring process involving interviews and assessments. Candidates with a strong background in engineering and customer service tools may have a better chance of success.

What is the difference between Concentrix Engineering vs Customer Support Engineer?

AspectConcentrix EngineeringCustomer Support Engineer
Required CredentialsTechnical certifications, relevant engineering degreesTechnical knowledge, certifications in customer support tools
Work EnvironmentOffice or remote engineering teams, project-basedCustomer service centers, remote or on-site support
Employer & Industry UsageTech companies, outsourcing firmsIT service providers, tech companies
Common Search & ComparisonYesYes

Concentrix Engineering focuses on developing and maintaining technical solutions within the company, requiring engineering skills and certifications. Customer Support Engineers primarily handle client inquiries and technical issues, emphasizing customer service skills. While both roles involve technical knowledge, Concentrix Engineering is more project and development-oriented, whereas Customer Support Engineers focus on troubleshooting and support.

How much do you get paid in Concentrix?

The pay for Concentrix engineering roles varies depending on the position, location, and experience level, but generally ranges from $15 to $30 per hour. Salaries may also include benefits such as health insurance and paid time off, and some roles may offer performance-based bonuses. Entry-level positions typically start at the lower end of the pay scale, while experienced engineers can earn higher wages.

How much does Concentrix pay work from home?

Concentrix engineering work from home positions typically pay hourly wages that range from approximately $10 to $20, depending on the role, experience, and location. Compensation may also include performance bonuses and benefits, with remote roles often requiring strong communication skills and familiarity with customer service or technical tools.

Is it hard to pass a Concentrix interview?

Passing a Concentrix Engineering interview typically requires demonstrating strong communication skills, technical knowledge relevant to the role, and problem-solving abilities. The interview process may include technical assessments, behavioral questions, and situational tasks, so preparation and understanding of the company's expectations are important.
Infographic showing various Concentrix Engineering job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 33% Physical, 1% Hybrid, and 66% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Lead GTM Data Operations Analyst, AI Workflows

Lead GTM Data Operations Analyst, AI Workflows

Klaviyo

San Francisco, CA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
Klaviyo is a company that empowers creators to own their destiny by making first-party data accessible and actionable. They are seeking a Lead GTM Data Operations Analyst to operate, tune, and extend their agentic data quality pipeline while managing offshore teams and ensuring high-quality data processing.
Responsibilities:
• Run and monitor production pipeline sessions (Cartographer, Sentinel, Resolver) across scheduled cadences; diagnose and resolve failures (API errors, session timeouts, data anomalies) without escalating to the function lead.
• Execute pipeline runs in Claude Claude and tmux; manage long-running batch processes; interpret logs and output to confirm data integrity before downstream handoff.
• Maintain pipeline orchestration scripts and configuration; extend agent coverage as new data elements are prioritized by GTM leadership.
• Refine detection rules, prompt logic, and confidence thresholds based on output analysis and false-positive/negative patterns.
• Evaluate agent accuracy by segment (Enterprise vs. MM/SMB) and recommend rule or workflow changes backed by evidence.
• Run bake-offs (vendor vs. AI enrichment) to optimize cost, coverage, and accuracy; document results for decision-making.
• Own the handoff between Sentinel detection output and Concentrix triage queues; define queue structure, priority tiers, and resolution instructions.
• Monitor offshore resolution quality and throughput; refine detection rules based on patterns surfaced through triage.
• Close the feedback loop: track resolution outcomes back to agent configuration to reduce recurring false positives and improve detection precision.
• Maintain ops-only staging fields; manage the promote-to-production flow with audit controls.
• Design and run AI-assisted enrichment workflows (Clay + LLM prompts) with evidence links and confidence thresholds.
• Monitor fill-rate, sampled accuracy, freshness, and cost-per-record by source and segment; surface vendor performance issues and recommend changes.
• Keep data dictionaries, SOPs, and runbooks current as agents and processes evolve.
• GTM Systems (SFDC): field configuration, permission sets, automation, flows.
• Data Engineering: source availability, ID mapping, lineage (no pipeline coding).
• Reporting: define metrics and acceptance criteria; partner on dashboard requirements.
Qualifications:
Required:
• 3–6 years in Data Ops, Sales Ops, or GTM Ops with hands-on data quality ownership for account and contact data.
• Proficiency with Snowflake (SQL for querying, analysis, validation) and SFDC (object model, field configuration, data flows).
• Working experience with Claude Code or comparable LLM-based tooling in an operational (not just experimental) context.
• Experience designing and running AI-assisted enrichment workflows (e.g., Clay + LLM prompts) and evaluating accuracy/coverage.
• Comfort operating in a command-line environment: tmux, shell scripts, log analysis, batch process monitoring.
• Process design mindset with a bias toward measurable outcomes; strong written communication.
Preferred:
• Experience with account/contact data vendors (D&B, ZoomInfo, Clearbit, StoreLeads) and waterfall enrichment logic.
• Python for QA scripting, sampling, or light automation.
• Familiarity with prompt engineering, confidence scoring, and AI guardrails (evidence capture, versioned prompts, QA sampling gates).
• Nice to Have: Python, SOQL, prompt engineering frameworks.
• AI Guardrails (Expected Practice): Confidence floors, evidence capture, versioned prompts, 10% QA sampling gates, audit-on-promote, drift alerts, and privacy/compliance checks.
Company:
Klaviyo is an automation and email platform designed to help grow businesses. Founded in 2012, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply