GTM Engineer

🕒 3 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $130.000 - $150.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Mitek Systems

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1986

🤖 Inteligência Artificial

📋 Conformidade

🔐 Segurança

Artificial Intelligence • Compliance • Security

A Mitek Systems é um fornecedor líder de soluções de verificação de identidade e autenticação biométrica, atendendo a uma ampla gama de indústrias. A empresa se especializa em tecnologias como captura móvel, autenticação biométrica e detecção de fraudes, oferecendo soluções impulsionadas por IA para aprimorar os processos de conformidade, segurança e integração de clientes. A Mitek Systems é renomada por sua tecnologia pioneira de Depósito Móvel e sua autenticação biométrica em 4 dimensões, que inclui detecção de vivacidade facial e de voz. A empresa se concentra em proteger contra fraudes financeiras e garantir a conformidade com os padrões regulatórios, ajudando negócios a construir confiança com os clientes por meio de experiências de usuário seguras e contínuas.

Descrição

• 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

🎯 Requisitos

• 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