Mirrai Careers

GTM Engineer

Mitek Systems

United States Remote Full-time$130k–$150k / year Posted 7d ago
Below market. This role pays below the $185k median for similar USD roles (1149 comparable postings in our corpus).
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We are seeking a highly analytical, technically proficient GTM Engineer to own the data, AI workflows, systems and operating processes that move demand from targeting and lead creation through qualified early-stage pipeline. This is a hands-on builder role at the intersection of GTM Operations, analytics and GTM Engineering. The successful candidate will establish trusted reporting infrastructure, turn funnel data into decisions, and build governed AI-enabled workflows that materially improve lead quality, conversion, speed and SDR productivity. WHAT YOU'LL DO (KEY RESPONSIBILITIES): Analytics, Data and Decision Infrastructure: * 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 clearly identify risks, opportunities and recommended interventions. AI, Automation and GTM Engineering: * 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; design for repeatability rather than one-off experimentation. * Define prompts, structured outputs, evaluation criteria, exception handling, human-in-the-loop controls and monitoring for accuracy, adoption and business impact. * Apply appropriate governance for data security, permissions, transparency and responsible use while continuously testing and improving workflow performance. * Identify high-value automation opportunities, quantify expected benefit and measure realized gains in conversion, speed, quality and team capacity. Lead Lifecycle, Scoring and Routing: * Own the operational design for 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. * Continuously improve scoring and routing using observed conversion outcomes, fit and intent signals, rep capacity and territory rules. * Define qualification and handoff standards across Marketing, SDRs and Account Executives, with clear ownership, required context and closed-loop feedback. Targeting and SDR Operating Systems: * 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, including integrations, cadences, task logic, data flows and operating standards. * Partner with SDR leadership to define capacity, activity, quality and pipeline goals and provide analytical coaching insights by rep, channel, cadence, segment and persona. * Ensure automated, inbound and outbound interactions enter the funnel with accurate ownership, context, qualification and attribution. Cross-Functional Leadership and Governance: * Serve as the operational and analytical partner to Marketing, Sales Development, Sales and GTM Systems for lead-to-pipeline performance. * 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, balancing near-term commercial needs with scalable architecture.   WHAT YOU'LL NEED (REQUIRED KNOWLEDGE, SKILLS & ABILITIES): * 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. WHAT WOULD BE NICE (PREFERRED EXPERIENCE): * Experience with Lusha, Clay, Nooks, Qualified and LinkedIn Sales Navigator. * Experience with SQL, BI tools, data transformation, reverse ETL or warehouse-based reporting. * Experience building GTM applications, internal tools or agents in a GTM Engineer capacity. * Experience supporting enterprise account-based or target-account motions, ideally in identity verification, fraud, cybersecurity or financial services technology.

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