Jobs at Fiddler AI

The Senior Manager of ABM & Campaigns will lead account-based marketing strategies and campaigns, focusing on engagement, pipeline growth, and revenue generation, leveraging AI tools, data insights, and integrated multi-channel marketing efforts.

Guide enterprise customers through onboarding, integrations, adoption, and expansion of an AI observability platform. Architect deployment solutions, write custom integrations, advise data science and ML engineering teams, lead technical engagements and escalations, communicate customer needs internally, and promote model transparency, monitoring, governance, and measurable business outcomes.

Generate qualified enterprise opportunities through inbound follow-up, outbound prospecting, and multichannel outreach. Research decision-makers, tailor messaging, conduct discovery conversations, explain Fiddler’s AI trust platform, achieve pipeline and conversion targets, and maintain accurate Salesforce records. Collaborate with Account Executives, Marketing, and Product to improve targeting, messaging, campaigns, and lead quality.

Drive messaging and positioning for Fiddlers AI Observability suite, influence product strategy, enable sales and solutions engineering with scalable materials, lead market and competitive intelligence, and partner cross-functionally to shape market narrative and category definition.

Lead design and implementation of OpenTelemetry-native SDKs, instrumentation, and ingestion pipelines for AI/agent observability. Architect high-throughput, reliable ingestion and normalization services, define semantic conventions, improve ops/SLOs, and mentor a growing engineering team while collaborating with product and customers.

Sell Fiddler’s AI observability platform to enterprise customers: prospect, navigate complex multi-stakeholder deals, demonstrate technical and business value for ML/AI solutions, close revenue, grow accounts, and collaborate cross-functionally. Travel as needed (10–25%).

Drive customer success for AI observability by architecting and delivering proofs-of-value, building integrations (data pipelines and ML infra), advising on model monitoring and governance, and championing customer needs across product, engineering, and sales to drive adoption and expansion.