Manager / Sr. Manager, Marketing Operations

Austin, TX (Remote)

Salary Not AvailableSenior Level6+ years expFull time

Posted 2 months ago

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Job Summary

Own and optimize marketing operations to deliver trustworthy data, scalable reporting, and measurable pipeline, combining martech governance, data hygiene, lead routing, and AI-enabled workflow improvements across the stack.

  • Own reporting infrastructure and automated dashboards used by leadership.
  • Design and maintain lead scoring, routing, and UTMs with cross-functional alignment (Web, Demand Gen, Sales).
  • Instrument campaigns to quantify pipe contribution and enable data-driven decisions with AI-assisted automation.

Job Description

Responsibilities

  • Audit the existing martech for dual-use readiness: data model, contact handling, workflow configuration, integration health, and data residency considerations where applicable. Retain what works, tune what needs tuning, replace what doesn't.
  • Own all reporting infrastructure — daily, weekly, monthly, and executive reporting cadences. Build automated dashboards that leadership actually uses.
  • Own data hygiene. Marketing data quality is a function, not a quarter-end project. Maintain it as such.
  • Design and maintain lead scoring and routing logic, and proactively propose and execute improvements. Coordinate with sales operations on shared workflow.
  • Instrument every campaign so pipeline contributions is measurable. UTMs, conversion events, lead routing — built to answer "did this dollar create pipe" first, "which touch got credit" second. Coordinate with Web & Digital on UTM strategy and with Demand Generation on conversion event definitions.
  • Support the BDR Manager on lead delivery, sequencing, and the feedback loop on lead quality.
  • Partner with Product Marketing on persona and segmentation data within the marketing database.
  • Maintain documentation. Operations breaks when only one person knows how it works.
  • Build and operate AI-accelerated workflows across the ops stack — anomaly detection in marketing data, predictive scoring iteration, attribution model diagnostics, ops documentation generation, data hygiene automation. Marketing Ops is the function that makes AI workflows usable by the rest of marketing; lead from the front.

Requirements

  • 6+ years in marketing operations at a B2B technology company, with hands-on platform administration experience.
  • Deep HubSpot administration experience — workflows, lifecycle stages, custom properties, integrations, reporting. We have HubSpot; the right person can take it from underused to well-run before we add anything else to the stack.
  • Working understanding of operating martech in a dual-use environment — federal data residency, contact-handling rules for federal data, and the operational discipline of keeping commercial and federal motions running cleanly in the same stack. You don't have to be a federal compliance expert; you do have to know what questions to ask and when to escalate.
  • Strong Salesforce skills, including reports, dashboards, custom objects, and the marketing-sales integration.
  • Proven experience and an informed POV on ABM, attribution models, lead scoring approaches, and the operational realities of each.
  • Demonstrated practice using AI tools in marketing ops workflows — anomaly detection, predictive modeling iteration, automation design. We will ask what you have built.
  • Strong written communication — your documentation will outlive the tools.
  • Comfort with technical AI subject matter; ability to learn quickly.
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Seekr

2.9 Glassdoor

Seekr delivers AI you can trust in mission-critical environments. As a privately held artificial intelligence company, we help government and critical infrastructure leaders make accurate, explainable decisions when the stakes are highest. From defense to telecom to finance, we power the systems society depends on. Build accurate, explainable AI securely with your data with SeekrFlowTM, our end-to-end platform with comprehensive content-scoring capabilities and a toolset to build domain-specific large language models and AI agents. By addressing bias, data integrity, and model complexity, we power informed, auditable decisions that drive real-world results. Our AI solutions are optimized for various enterprise and government use cases and run on all leading cloud and hardware providers. As a SOC 2 certified company, we provide you with full control to deploy on our cloud, your cloud, your data center, or at the Edge.

Founded in 2021
Reston, Virginia, USA
128 employees (11 in marketing)
0% recommend to a friend

Traffic Signals

Monthly Visitors
19.4K
Monthly Google Ads Budget
$52.2K
Traffic Source Mix
Search
31.8%
Direct
49.7%
Referral
10%
Social
7.2%
Paid
1.1%

Headcount Trend

Current headcount: ~129

Marketing Team

Marketing Team Size
5 (4% of company)

Funding

Total Funding
$275M
Last Raise
$116M
Series Unknown, 11 months ago

Funding History

  • Jun 2025
    Series Unknown • $116M
  • Apr 2023
    Undisclosed • $88M
  • Dec 2021
    Convertible Note • $43M

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