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Sales Dev AI Program Manager

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92% of candidates apply because they are a Most Loved Workplace®
Singapore
Sales Development

About the Role

At Databricks, a Most Loved Workplace® certified employer in the Technology space, Democratizing data and AI for every organization worldwide.

<p data-pm-slice="1 1 []">SLSQ327R270</p>

<p>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.</p>

<p>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.</p>

<p>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.</p>

<p>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.</p>

<p>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.</p>

<p>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.</p>

<p>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.</p>

<h2><strong>The impact you'll have</strong></h2>

<ul>

<li>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.</li>

<li>Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early.</li>

<li>Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews).</li>

<li>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.</li>

<li>Own sequence governance: standardize and audit Outreach sequences (AI and legacy) with central design plus a monthly efficacy review.</li>

<li>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.</li>

<li>Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT.</li>

<li>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.</li>

</ul>

<h2><strong>What we look for</strong></h2>

<ul>

<li>AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier. </li>

<li>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.</li>

<li>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.</li>

<li>Program ownership orientation. You want to do the operational parts of the job, not just architect them.</li>

<li>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.</li>

<li>Comfort with ambiguity. This role doesn't come with a complete playbook. The right candidate is energized by that, not destabilized.</li>

<li>Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast.</li>

<li>"Get it done" attitude with the ability to architect program strategy AND operationalize it with high attention to detail.</li>

<li>Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build.</li>

<li>Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases.</li>

</ul>

<h2><strong>What this role isn't</strong></h2>

<ul>

<li>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.</li>

<li>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.</li>

<li>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.</li>

</ul><div class="content-conclusion"><p><strong>About Databricks</strong></p>

<p><span style="font-family: arial, sans-serif;">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 <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/Databricks&source=gmail&ust=1700237575733000&usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/Databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/Databricks&source=gmail&ust=1700237575733000&usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksinc" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.facebook.com/databricksinc&source=gmail&ust=1700237575733000&usg=AOvVaw39EcncitnlqV72EG2-RqXJ">Facebook</a></span>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p>

<p><strong>Our Commitment to Diversity and Inclusion</strong></p>

<p>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.</p>

<p><strong>Compliance</strong></p>

<p><strong><span style="font-weight: 400;">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.</span></strong></p></div>

Want to learn more about what it's like to work at Databricks? View our full profile.

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Why This Is a Most Loved Workplace® Certified Job

S

Systemic Collaboration

As Databricks continues our rapid growth, we strive to maintain a culture as open and transparent as it was in Databricks’s early days. Making sure employees have regular access to our CEO and co-founders to hear directly about our vision and priorities helps our employees forge a connection between Databricks priorities and their daily work.

P

Positive Vision for the Future

Databricks’ culture principles are derived from an internal study of the behaviors that have led to high impact work at Databricks. These values have a direct impact on company culture and play a large part in connecting teams across the organization. We believe in being customer-obsessed, truth-seeking, operating from first principles, having a bias for action, and putting Databricks first. Our co-founders are fully involved in day-to-day operations, including business and technical reviews, working alongside our team members to ensure that we are always aligned with our values.

A

Alignment of Values

Databricks’ CEO and Co-founder, Ali Ghodsi leads by example with a focus on truth-seeking and first principles thinking, two of Databricks’ core values that stay true to Databricks’s origins in academia. He champions the importance of data and reason to question biases and inform decisions. Ali remains hands-on with research and development and hosts company-wide weekly all hands, with a CEO “ask me anytime” session at the beginning of every agenda. His transparency and accessibility are core to the open and collaborative culture of Databricks.

R

Respect

At Databricks, we cultivate an environment where all employees can bring their unique selves and are empowered to do the best work of their careers. To ensure all voices are heard and ideas are valued, we conduct annual culture and pulse surveys and host all-hands Q&As to collect feedback from all employees. We then report back to Databricks on the specific changes implemented from the feedback collected to ensure employees feel heard and that their feedback is valued. In addition, we invest in our seven Employee Resource Groups (ERGs) that offer support and employee engagement events for individuals from underrepresented backgrounds and allies.

K

Killer Outcomes

Databricks prioritizes offering an exceptional employee experience by investing in tools, workspaces, and community-building. Our collaboration-first, hybrid model offers flexibility with in-person touchpoints like our annual employee kickoff, weekly CEO all-hands with happy hours, and monthly team building budgets. We are especially focused on maintaining a culture of transparency, honesty, and trust, with leaders actively engaging across channels like Slack and all hands while also championing inclusion efforts through ERG sponsorship. These initiatives help our team feel connected, valued, and empowered to do their best work.

What It's Like to Work Here

zap Bias for Action
lightbulb First Principles Innovation
users Collaborative Excellence
target Truth-Seeking Rigor
compass Generational Mission Focus
Certified for: Global Top 100 Most Loved Workplaces®, Certified Most Loved Workplaces® 2025, Top 100 Most Loved Workplaces® 2025

Frequently Asked Questions About Working at Databricks

Common questions candidates ask about this role and Databricks's workplace

With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products. With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of the lakehouse architecture and open source projects Apache Spark™, Delta Lake, MLflow and Unity Catalog.

Please review the specific job listing or contact Databricks's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Databricks is an established organization in its industry. The company is a certified Most Loved Workplace®, highlighting a strong, positive culture and committed workforce.

Key benefit categories include: Health & Wellness, Work-Life Balance, Office & Lifestyle, Professional Development, Financial. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Bias for Action and First Principles Innovation and Collaborative Excellence.

The company has committed to inclusive practices including: Customer Obsession with Integrity and Empowering Every Team Member.

They score particularly well in the area of Systemic Collaboration. They have earned Most Loved Workplace® certifications including: Global Top 100 Most Loved Workplaces® and Certified Most Loved Workplaces® 2025.

Databricks currently has 789 open positions. They are hiring across departments like Field Engineering - Other, Delivery Solutions Architects, Enterprise Sales. You can view all current openings at certcheck.mostlovedworkplace.com/companies/databricks/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Databricks's recruiting team for specific details on this role's process.

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