Senior Growth Manager

London, UK (Hybrid)

Salary Not AvailableSenior Level3+ years expFull time

Posted 2 months ago

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Job Summary

Own the enterprise demand-gen motion for ML Ops/AI infrastructure by coordinating content, campaigns, and events to drive qualified pipeline in partnership with Sales; deploy AI signals and intent tooling to surface warm opportunities and prioritise outreach.

  • Lead cross-functional pipeline strategy and in-person touchpoints to convert target accounts into opportunities.
  • Activate AI agents and contact-level intent tools to surface signals and guide Sales engagement.
  • Own conference/field-event strategy and co-marketing with technology partners to generate pipeline.

Job Description

Responsibilities

  • Lead and develop your team — setting clear priorities, unblocking people, and maintaining a high bar for output across all growth programs
  • Own pipeline strategy for target enterprise accounts — coordinating content, campaigns, outreach, and in-person touchpoints to drive qualified opportunities in partnership with Sales and SDRs
  • Deploy AI agents to monitor account-level signals, identifying when target accounts are moving from cold to warm and surfacing the right moment for Sales to engage
  • Use AI-driven intent tools at the contact level to flag high-intent prospects, inform personalisation, and help Sales prioritise outreach across an account
  • Build and own our conference and field event strategy — identifying the right moments in the ML Ops, Data Ops, and AI infrastructure calendar, activating target accounts before and after events, and converting in-person presence into pipeline
  • Develop co-marketing programs with technology partners across the ML Ops and AI infrastructure ecosystem, turning integrations and shared customers into joint campaigns and warm introductions into target accounts
  • Work closely with AEs and Sales leadership to ensure Sales receives well-qualified, well-timed opportunities
  • Manage lead routing, enrichment, and nurture tracks to reduce friction across enterprise buyer journeys

Requirements

  • 3+ years in B2B growth, strategy, finance, or a commercially rigorous field — with a track record of owning outcomes, not just workstreams
  • Direct experience in or exposure to the ML Ops, Data Ops, or AI infrastructure space, or adjacent areas such as model evaluation, robotics, physical AI, or autonomy
  • Experience building and executing demand generation, field event, or co-marketing programs in a B2B environment
  • Familiarity with AI-driven intent and signal tools (e.g. 6sense, Bombora, Clay) and how they integrate into a GTM motion
  • You're structured and precise in how you think about markets — you know how to map a landscape, identify where to focus, and build programs that convert that focus into pipeline
  • You're energised by in-person relationship building — conferences, roundtables, and industry events are where you do some of your best work
  • You're quick to pick up new tools and workflows — you're already using AI to work faster and smarter, and you're curious about where it goes next
  • You can engage credibly on technical topics — ML infrastructure, compute orchestration, model evaluation, and developer tooling are areas you're motivated to go deep on
  • You've managed or led small teams and know how to get the best out of people while keeping programs moving

Nice to Have

  • You’re structured and precise in how you think about markets — you know how to map a landscape, identify where to focus, and build programs that convert that focus into pipeline
  • You’re energised by in-person relationship building — conferences, roundtables, and industry events are where you do some of your best work
  • You’re quick to pick up new tools and workflows — you’re already using AI to work faster and smarter, and you’re curious about where it goes next
  • You can engage credibly on technical topics — ML infrastructure, compute orchestration, model evaluation, and developer tooling are areas you’re motivated to go deep on
  • You’ve managed or led small teams and know how to get the best out of people while keeping programs moving
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Encord

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Encord is the multimodal data labeling, curation and evaluation platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, LiDAR, 3D point cloud, and DICOM files on one unified platform while benefiting from AI-assisted speed and accuracy with human-in-the-loop workflows. Enrich petabytes of raw unstructured data into high-fidelity data for training, fine-tuning, and aligning AI models quickly and at scale.Encord is trusted by pioneering AI teams at Synthesia, Captions AI, Tractable, Stanford Medicine, Flock Safety, Protex AI, Zoopla, Philips, and many more global companies.Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.

Founded in 2020
San Francisco, California, USA
128 employees (19 in marketing)
100% recommend to a friend
100% CEO approval

Traffic Signals

Monthly Visitors
237.5K
Monthly Google Ads Budget
$8.2K
Traffic Source Mix
Search
54.8%
Direct
33.8%
Referral
8%
Social
2.4%
Paid
0.9%

Headcount Trend

Current headcount: ~131

Marketing Team

Marketing Team Size
13 (10% of company)

Funding

Total Funding
$110M
Last Raise
$60M
Series C, 18 days ago

Funding History

  • Feb 2026
    Series C • $60M
  • Aug 2024
    Series B • $30M
  • Oct 2021
    Series A • $15M

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