Posted last month
GTM Strategy and Operations Manager
@ Mitek Systems
Remote in Canada
Overview
Mitek Systems is hiring a GTM Strategy and Operations Manager to own the analytical and operational foundation for pipeline through renewal. The role covers the commercial data model, forecasting operating model, Salesforce and Clari administration, AI-enabled workflows and partner and renewal processes. The posting states a full-time position with at least 4 years of GTM, revenue or sales operations experience in B2B technology or SaaS.
Pay:
$155,000–$180,000 a year
Responsibilities:
- Own pipeline, forecast and renewal analytics and reporting
- Build and operate AI-enabled GTM workflows in Salesforce and Clari
- Own opportunity lifecycle, forecasting model and Clari administration
- Design closed-won handoff, renewal and partner processes
- Partner with Sales, Customer Success, Finance and executives
Requirements summary:
- 4+ years in GTM, revenue or sales operations in B2B SaaS
- Advanced analytics and data model design experience
- Strong Salesforce proficiency
- Forecasting experience, preferably with Clari
- Experience building AI-enabled workflows with low-code tools or APIs
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-09-29
- First seen by our source
- 2026-11-09
- Source record updated
- 2026-11-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Sales |
| Experience | 4+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mitek Systems
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
What You Will Do (Essential Responsibilities):
- Own the analytical foundation for pipeline through renewal, including the commercial data model, metric definitions, source-of-truth logic, transformations and dashboard architecture.
- Build reliable reporting for pipeline coverage, stage conversion, win rate, deal size, sales cycle, slippage, forecast accuracy, retention, renewal risk and partner contribution.
- Create analytical views across region, segment, product, source, owner, partner, opportunity type and cohort, using trend and root-cause analysis to explain performance drivers.
- Establish data-quality monitoring, reconciliation and reporting QA across Salesforce, Clari and related sources so leaders can trust outputs and understand metric lineage.
- Deliver decision-ready pipeline, forecast and renewal narratives that distinguish signal from noise and recommend specific management actions.
- Design, build and operate production-ready AI workflows for opportunity hygiene, deal-risk detection, forecast commentary, meeting intelligence, next-step quality, renewal preparation, churn and expansion signals, and management reporting.
- Connect AI capabilities to Salesforce, Clari, Clari Copilot and structured commercial 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 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 realised gains in forecast accuracy, seller capacity, cycle time and retention visibility.
- Own the Salesforce opportunity lifecycle from creation through qualification, progression and close, including stages, entry and exit criteria, required fields, validation and hygiene standards.
- Own the forecasting operating model, including cadence, hierarchy, categories, inspection views, submissions, governance and forecast-accuracy measurement.
- Administer and optimise Clari and its Salesforce integration, ensuring access, roll-ups, workflows and data are accurate, usable and trusted.
- Use Clari and Clari Copilot insights to surface movement, slippage, risk, upside, stakeholder coverage and coaching opportunities for leaders and sellers.
- Partner with Sales leadership to improve pipeline discipline and execution through clear process, enablement, inspection and data-led intervention.
- Own closed-won handoff into implementation and Customer Success, including required context, ownership, service levels, milestone capture and exception management.
- Design and maintain renewal processes covering record creation, ownership, timelines, stages, risk, forecast categories, escalation, retention outcomes and expansion signals.
- Own scalable processes for partner-sourced and partner-influenced opportunities, including registration, approval, attribution, handoffs and performance reporting.
- Ensure closed-lost, churn and contraction reasons are consistently captured and converted into actionable insight.
- Serve as the operational and analytical partner to Sales, Customer Success, Partnerships, Finance, GTM Systems and executive leadership for pipeline-to-renewal performance.
- Lead requirements gathering, process design, solution configuration, testing, release management, documentation, enablement and adoption measurement.
- Drive alignment on commercial definitions, forecast policy, data standards and prioritisation, balancing near-term needs with scalable architecture.
Analytics, Data and Decision Infrastructure:
AI, Automation and GTM Engineering:
Opportunity, Pipeline and Forecasting Ownership:
Close, Renewal and Partner Operations:
Cross-Functional Leadership and Governance:
What You'll Need (Required Knowledge, Skills & Abilities):
- 4+ years of experience in GTM Operations, Revenue Operations, Sales Operations, Customer 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 opportunity data modelling, process design, automation, reports, dashboards, permissions and data-quality governance.
- Hands-on experience with forecasting processes and platforms, preferably Clari, including configuration, inspection, reporting and forecast-accuracy analysis.
- 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.
- Experience designing opportunity, close, customer handoff, renewal and recurring-revenue reporting processes.
- Ability to combine quantitative analysis with commercial judgement, communicate clear recommendations and influence senior cross-functional leaders.
- Strong requirements-gathering, process-mapping, solution design, testing, documentation and change-management skills.
What Would Be Nice (Preferred Experience):
- Experience with Clari Copilot, conversation intelligence or AI-assisted deal inspection.
- 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.
- Exposure to Salesloft, Lusha, Clay, Nooks, Qualified or LinkedIn Sales Navigator, plus experience supporting enterprise or multi-product recurring-revenue motions.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.