GTM Engineer

🔥 18 minutes ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mitek Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

Artificial Intelligence • Compliance • Security

Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

📋 Description

• Own the analytical foundation for the lead-to-opportunity funnel, including the data model, metric definitions, source-of-truth logic, transformations and dashboard architecture • Build reliable reporting for volume, conversion, velocity, acceptance, aging, leakage, pipeline value and target-account penetration across source, campaign, segment, persona, account tier, channel and owner • Evaluate lead-scoring efficacy, routing performance, outreach productivity and handoff quality using cohort, trend and root-cause analysis; translate findings into prioritized actions • Create data-quality monitoring, reconciliation and reporting QA so leaders can trust funnel insights and understand metric lineage • Develop recurring early-pipeline outlooks and decision-ready performance narratives that identify risks, opportunities and recommended interventions • Design, build and operate production-ready AI workflows for account and contact research, enrichment, prioritization, personalization, qualification, routing QA, SDR preparation, next-best action and performance diagnosis • Connect AI capabilities to GTM systems and structured data using low-code tools, integrations, APIs and agent-based platforms • Define prompts, structured outputs, evaluation criteria, exception handling, human-in-the-loop controls and monitoring • Apply governance for data security, permissions, transparency and responsible use while improving workflow performance • Identify automation opportunities, quantify expected benefit and measure gains in conversion, speed, quality and team capacity • Own lead capture, enrichment, deduplication, scoring, grading, prioritization, routing, acceptance, recycling and disqualification • Translate GTM policy into scalable Salesforce fields, validation rules, ownership logic, queues, automations and service-level agreements • Improve scoring and routing using conversion outcomes, fit and intent signals, rep capacity and territory rules • Define qualification and handoff standards across Marketing, SDRs and Account Executives • Operationalize ICP, segmentation, territory and target-account strategies into measurable account and contact universes, coverage plans and activation workflows • Administer and optimize Salesforce, Salesloft, Lusha, Clay, Nooks, Qualified and LinkedIn Sales Navigator • Partner with SDR leadership to define capacity, activity, quality and pipeline goals and provide analytical coaching insights • Ensure automated, inbound and outbound interactions enter the funnel with accurate ownership, context, qualification and attribution • Serve as operational and analytical partner to Marketing, Sales Development, Sales and GTM Systems • Lead requirements gathering, process design, solution configuration, testing, release management, documentation, enablement and adoption measurement • Drive alignment on lifecycle definitions, service levels, data standards and prioritization

🎯 Requirements

• 4+ years of experience in GTM Operations, Revenue Operations, Sales Operations, Marketing Operations, GTM Engineering, Revenue Systems or an equivalent technical GTM role in a B2B technology or SaaS environment • Advanced analytical ability, including experience designing data models, metric definitions, dashboard architecture and scalable reporting infrastructure for operational and executive decision-making • Strong Salesforce proficiency across data modelling, process design, automation, reports, dashboards, permissions and data-quality governance • Demonstrated success building and operationalising AI-enabled workflows using low-code tools, integrations, APIs or agent-based platforms • Working knowledge of AI workflow design, including prompt design, structured outputs, testing and evaluation, monitoring, exception handling and human oversight • Hands-on experience administering or optimising a sales engagement platform such as Salesloft or Outreach • Experience designing lead lifecycle, scoring, routing, qualification, SDR and early-stage pipeline processes • Ability to combine quantitative analysis with commercial judgement, communicate clear recommendations and influence cross-functional leaders • Strong requirements-gathering, process-mapping, solution design, testing, documentation and change-management skills • Preferred: Experience with Lusha, Clay, Nooks, Qualified and LinkedIn Sales Navigator • Preferred: Experience with SQL, BI tools, data transformation, reverse ETL or warehouse-based reporting • Preferred: Experience building GTM applications, internal tools or agents in a GTM Engineer capacity • Preferred: Experience supporting enterprise account-based or target-account motions, ideally in identity verification, fraud, cybersecurity or financial services technology