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Menlo Ventures is seeking a Sales Dev AI Program Manager in Singapore to lead a cutting-edge AI prospecting initiative. This role involves designing metrics, reporting, and change management strategies to optimize the prospecting process.
The ideal candidate will possess AI fluency, operational experience in high-growth contexts, and the capability to overcome ambiguous challenges. You will work collaboratively with various teams to ensure program success and transformation.
SLSQ327R270
The Sales Dev AI Programs Team works directly with Databricks' Sales Development and Sales leadership to architect the world's elite top‑of‑funnel engine, empowering every xDR and AE with prospecting tools and programs that turn market potential into predictable revenue.
We sit at the intersection of strategy, AI, and the field, owning the programs that transform scaled, AI‑native prospecting from an experiment into operating standard.
We are looking for a Sales Dev AI Program Manager to own outcomes and inspection, metric design, measurement and reporting, governance, benchmarking, enablement, content strategy, and change management for an AI‑first prospecting program that touches the entire go‑to‑market organization.
In this role, you will design and run the operating mechanisms that make the Scaled AI program work, including executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and reporting and inspection that let us know what’s working…
You will deliver day‑to‑day program management with exceptional rigor, never losing sight of how an AI‑native prospecting model should be built from first principles.
Alongside Sales Dev leadership, you’ll partner across AI Ops, Strategy Ops, Sales Programs, Marketing Ops, Enablement, GTM Analytics, and external technology partners to drive adoption, close the loop on user signals, and continuously raise the bar on program performance.
The ideal candidate is a self‑starter with endless curiosity who works cross‑functionally to tackle complex problems end‑to‑end. They are AI‑fluent, operationally rigorous, strategic about high‑volume prospecting, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.
This is a unique opportunity to define what scaled, AI‑native prospecting looks like at one of the fastest‑growing companies in tech and set the blueprint for the industry.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.