Sales Dev AI Program Manager

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Benefits Diversity Engineering Research Students & new grads Back to search results Sales Dev AI Program Manager United States Apply now SLSQ327R269 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 the prospecting tools and programs to convert market potential into predictable revenue. We sit at the intersection of strategy, AI, and the field, and we own the programs that turn scaled, AI-native prospecting from an experiment into the 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, executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and the reporting and inspection that tells us what's working and what isn't. You deliver the day-to-day program management with exceptional rigor and never lose 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 can work cross-functionally to tackle complex problems end-to-end. We're looking for someone who is AI-fluent, operationally rigorous, strategic about how high-volume prospecting should operate, 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 to set the blueprint for the industry. The impact you'll have Own the Programs pillar for one of our four BUs, including outcomes & inspection, metric design, measurement & reporting, governance, benchmarking, enablement, content strategy, and change management. Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early. Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews). Own reporting and inspection: build the data foundation and executive- and field-facing reporting that explains what works and what doesn't across sequences, tactics, and segments. Own sequence governance: standardize, audit and ongoing management of Outreach sequences (AI driven and non-AI) with central design plus a monthly efficacy review. Build community and adoption: turn passive users into advocates (AI Prospecting Council, advisory boards, personifying the agents, meeting users where they work) and drive field alignment, readiness, and adoption. Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT. Be a force multiplier: bring fresh thinking to old problems, build AI-powered toolkits that scale, and raise the technical bar for the whole team. Integrate Programs with overall Sales and Industry Programs, and own the feedback loop. What we look for AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier. Strong preference for a "built something where there wasn't anything" background. Ideal profiles include program or GTM strategy at a hyper-growth company, sales development / prospecting program ownership, chief of staff at a growth-stage startup, and former consultants with operational experience. We want people who thrive where the playbook didn't exist yet, and built it. Exceptional attention to detail & data-integrity instinct. This role requires consistent, high-quality operational delivery: accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You spot discrepancies, trace them to root causes, and won't ship a number you can't defend. Program ownership orientation. You want to do the operational parts of the job, not just architect them. Strategic mind for high-volume prospecting. You bring a perspective on how scaled coverage, AI pilots, partner-led motions, and programmatic engagement should operate and you want to redefine the prospecting operating model, not maintain it. Comfort with ambiguity. This role doesn't come with a complete playbook. The right candidate is energized by that, not destabilized. Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast. Able to translate business

requirements into technical terms and partner effectively with AI Ops and Product. "Get it done" attitude with the ability to architect program strategy AND operationalize it with high attention to detail. Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build. Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases. What this role isn't Not a pure strategy role. If you want to think but not execute, this isn't the right role. The operational parts of the job, cadences, reporting, governance, aren't optional. Not a maintain-the-current-model role. We need someone who will challenge how prospecting operates in the age of AI and rebuild it from first principles. Not a role for someone uncomfortable with volume, ambiguity, or pace. The program touches the entire sales-development org, and the operating tempo reflects that. Pay Range Transparency Databricks is committed to fair and equitable

compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual

compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total

compensation package for this position may also include eligibility for annual performance

bonus, equity, and the

benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $108,900 — $149,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

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benefits offered in your region click here . Our Commitment to Diversity and Inclusion 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. Compliance 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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company

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