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MarketStar

B2B sales outsourcing for revenue growth

Manager – Market Research & Lead Generation - List Building

Sales OperationsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Typically 6–10 years of relevant experience in list building, market research, data operations, sales intelligence, lead generation, revenue operations, or a closely related field.
  • At least 2–3 years of people-management or team-leadership experience, including responsibility for performance, coaching, and delivery.
  • Demonstrated experience managing high-volume, deadline-driven research or data operations across multiple stakeholders or client accounts.
  • Strong command of company and contact research, ideal customer profile and persona selection, segmentation, enrichment, validation, and customer relationship management data-quality practices.
  • Experience managing service levels, quality standards, work allocation, operating metrics, and performance reporting.
  • Working knowledge of approved-source governance, data privacy, retention, suppression, and secure data-handling practices.
  • Strong analytical problem-solving, communication, prioritisation, and stakeholder-management skills.
  • Bachelor’s degree or equivalent practical experience in Business, Marketing, Economics, Statistics, Data, Operations, or a related discipline.
  • Database research and list building.
  • Company and contact research.
  • Ideal customer profile, buyer persona identification, and segmentation.
  • Data enrichment, validation, and deduplication.
  • Market research and sales intelligence.
  • Operations and delivery management.
  • Service-level agreement, turnaround-time, and productivity management.
  • Team management, coaching, and performance management.
  • Data quality assurance and process control.
  • Advanced Excel or Google Sheets.
  • Key performance indicator reporting, dashboarding, and data analysis.
  • Customer relationship management and prospecting tools.
  • Standard operating procedure development and process improvement.
  • Capacity planning and workload allocation.
  • Stakeholder and client management.
  • Data governance, privacy, and compliance.
  • Problem-solving and root-cause analysis.
  • Workflow automation and artificial-intelligence-assisted research.

Responsibilities

  • Manage end-to-end execution of company and contact research, list building, data enrichment, validation, segmentation, and lead-generation support.
  • Translate ideal customer profiles, buyer personas, territories, and campaign briefs into executable work plans and team assignments.
  • Track workload, capacity, turnaround times, and dependencies across concurrent projects.
  • Identify delivery risks early, resolve operational bottlenecks, and escalate material issues with recommended actions.
  • Allocate work, set daily and weekly priorities, and balance capacity against delivery commitments.
  • Lead team leads and individual contributors through clear goals, regular reviews, coaching, and timely performance feedback.
  • Support hiring, onboarding, training, cross-skilling, engagement, and retention activities.
  • Maintain role clarity, shift coverage, leave plans, and business-continuity readiness.
  • Apply approved research methodologies, source standards, validation rules, acceptance criteria, and sampling plans.
  • Monitor accuracy, completeness, relevance, uniqueness, freshness, deliverability, and source traceability.
  • Conduct audits, defect reviews, and root-cause analysis; implement corrective and preventive actions.
  • Ensure outputs align with agreed ideal customer profile, persona, geography, and campaign requirements.
  • Ensure the team uses approved sources, tools, and data-handling practices.
  • Maintain operational controls for data provenance, access, retention, suppression, deletion, transfer, and secure storage.
  • Support audit requests, client reviews, and due diligence by maintaining complete process and quality evidence.
  • Escalate suspected privacy, security, contractual, or data-quality incidents through defined channels.
  • Use customer relationship management, enrichment, workflow, quality, and reporting tools effectively across assigned workstreams.
  • Identify and implement practical automation and artificial-intelligence-assisted research opportunities with appropriate human review.
  • Maintain dashboards and reports covering demand, capacity, productivity, quality, backlog, and delivery risk.
  • Partner with Technology, Data, and Revenue Operations teams to resolve tool, integration, and workflow issues.
  • Serve as the primary operational contact for assigned stakeholders; clarify requirements, confirm acceptance criteria, and provide delivery updates.
  • Lead regular operating reviews and communicate performance, risks, root causes, and corrective actions.
  • Provide effort estimates, staffing inputs, and transition support for new or expanded work.
  • Identify service-improvement or expansion opportunities and share evidence-based recommendations with senior leadership.
  • Maintain and improve standard operating procedures, process maps, checklists, templates, and training materials.
  • Use performance data and team feedback to simplify workflows and reduce defects, delays, and manual effort.
  • Run improvement actions through defined owners, milestones, and benefit tracking.
  • Promote ethical research, customer focus, inclusion, accountability, and evidence-based decision-making.

Desired Qualifications

  • Experience supporting international clients or global go-to-market teams.
  • Experience with Salesforce, HubSpot, or a comparable customer relationship management platform; LinkedIn Sales Navigator; and commercial data or enrichment platforms such as Clay, ZoomInfo, Apollo, or Cognism.
  • Proficiency in advanced Excel or Google Sheets and working knowledge of Power BI, Tableau, SQL, or comparable reporting tools.
  • Experience implementing workflow automation, quality tooling, or responsibly governed artificial-intelligence-assisted research.
  • Exposure to managed services, business process outsourcing or knowledge process outsourcing, agency, or multi-client delivery environments.
  • Relevant training or certification in project management, Lean Six Sigma, data privacy, analytics, or market research.

About the Company

MarketStar

B2B sales outsourcing for revenue growth

MarketStar provides B2B sales outsourcing through its Sales as a Service offering. It handles pipeline development, new customer acquisition, partner enablement, and customer success across industries. Its approach combines AI-driven insights with CRM-aligned execution, delivered by multilingual, in-region teams across 90+ countries. The company differentiates itself with a 36-year track record, a scalable model for predictable revenue growth, and end-to-end sales services across sectors such as SaaS, Cloud, Cybersecurity, AdTech, eCommerce, Hardware, and IT Services. MarketStar’s goal is to create growth for clients, its people, and its communities by accelerating client revenue and delivering measurable impact.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Ogden, UT
Founded
1988

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